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CV Papers Daily

Updated on 2025.02.24

spurious correlation

Date Title Authors PDF Code Comments
2025-2-19 Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixiet.al paper -
detailpublished in ICLR 2024
2025-2-17 DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wanget.al paper code -
2025-2-17 AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding Xiwei Xuanet.al paper - -
2025-2-17 CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling Taneesh Guptaet.al paper - -
2025-2-17 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Huaet.al paper code -
2025-2-16 Diffusing DeBias: a Recipe for Turning a Bug into a Feature Massimiliano Ciranniet.al paper -
detail29 Pages
2025-2-13 Elastic Representation: Mitigating Spurious Correlations for Group Robustness Tao Wenet.al paper -
detailAISTATS 2025
2025-2-13 WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraruet.al paper - -
2025-2-13 A Differentiable Rank-Based Objective For Better Feature Learning Krunoslav Lehman Pavasovicet.al paper - -
2025-2-13 Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhanget.al paper -
detailICML 2024
2025-2-13 Shortcut Learning Susceptibility in Vision Classifiers Pirzada Suhailet.al paper - -
2025-2-13 ColorSense: A Study on Color Vision in Machine Visual Recognition Ming-Chang Chiuet.al paper - -
2025-2-12 For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthu Chidambaramet.al paper -
detailICLR 2025
2025-2-12 Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions Satyaki Daset.al paper - -
2025-2-11 Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection Anirudh Sundara Rajanet.al paper - -

spurious

Date Title Authors PDF Code Comments
2025-2-21 ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model Zhongyi Zhouet.al paper - -
2025-2-17 Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps Ross Gardineret.al paper - -
2025-2-14 Enhancing anomaly detection with topology-aware autoencoders Vishal S. Ngairangbamet.al paper - -
2025-2-13 Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing Chuan Wenet.al paper - -
2025-2-13 Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity Xiaoyu Zhenget.al paper - -

spurious*

Date Title Authors PDF Code Comments
2025-2-12 Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsmanet.al paper code
detailproject page: https://yossigandelsman
2025-1-30 Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyathet.al paper code
detailICLR 2025
2025-1-23 Post-hoc Spurious Correlation Neutralization with Single-Weight Fictitious Class Unlearning Shahin Hakemiet.al paper - -
2024-12-23 Symbolic Infinite-State LTL Synthesis Shaun Azzopardiet.al paper - -
2024-12-11 Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations Michael Zhanget.al paper - -
2024-11-28 The Multiple Dimensions of Spuriousness in Machine Learning Samuel J. Bellet.al paper - -
2024-10-20 Bayesian Concept Bottleneck Models with LLM Priors Jean Fenget.al paper - -
2024-10-17 Learning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection Chuhong Maiet.al paper -
detailNeurIPS 2024 Table Representation Learning workshop
2024-10-13 Towards Mitigating more Challenging Spurious Correlations: A Benchmark & New Datasets Siddharth Joshiet.al paper code
detailPackage: https://github
2024-9-26 Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlengaet.al paper -
detailthe 18th European Conference on Computer Vision (ECCV 2024) as an Oral presentation
2024-9-19 Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyüket.al paper - -
2024-9-17 Semformer: Transformer Language Models with Semantic Planning Yongjing Yinet.al paper -
detailJournal ref:EMNLP2024
2024-9-6 Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajanet.al paper - -
2024-8-31 Do Concept Bottleneck Models Respect Localities? Naveen Ramanet.al paper -
detailPrevious Version NeurIPs 23 XAI in Action Workshop

visual counterfactual explanation

Date Title Authors PDF Code Comments
2025-2-5 Global Counterfactual Directions Bartlomiej Sobieskiet.al paper -
detailECCV 2024
2025-2-3 GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablockiet.al paper code -
2025-1-12 Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khanet.al paper -
detailJournal ref:Knowledge-Based Systems
2024-12-10 Representation Learning of Multivariate Time Series using Attention and Adversarial Training Leon Scharwächteret.al paper - -
2024-11-25 Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks Rui Zuoet.al paper - -
2024-10-29 CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbiet.al paper code
detailACM Class:I
2024-10-16 Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieskiet.al paper -
detailPreprint
2024-10-8 Unsupervised Model Diagnosis Yinong Oliver Wanget.al paper - -
2024-10-1 Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atadet.al paper code
detailAccepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal
2024-9-19 The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoffet.al paper -
detailAccepted paper at the ECCV 2024
2024-9-10 Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems Yongsu Ahnet.al paper - -
2024-9-9 Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobeket.al paper - -
2024-7-20 Structure Your Data: Towards Semantic Graph Counterfactuals Angeliki Dimitriouet.al paper -
detailJournal ref:ICML 2024
2024-7-19 Contrastive Learning with Counterfactual Explanations for Radiology Report Generation Mingjie Liet.al paper -
detailECCV 2024
2024-7-12 DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations Maximilian Augustinet.al paper -
detailCVPR 2024

counterfact

Date Title Authors PDF Code Comments
2025-2-19 BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning Ercong Nieet.al paper - -
2025-2-16 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Liet.al paper code
detailAAAI25
2024-12-22 A Reality Check on Context Utilisation for Retrieval-Augmented Generation Lovisa Hagströmet.al paper - -
2024-12-4 Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guoet.al paper - -
2024-10-11 Untying the Reversal Curse via Bidirectional Language Model Editing Jun-Yu Maet.al paper - -
2024-10-11 Keys to Robust Edits: from Theoretical Insights to Practical Advances Jianhao Yanet.al paper -
detailWork in progress
2024-6-3 Model Editing by Standard Fine-Tuning Govind Gangadharet.al paper -
detailFindings of ACL 2024
2024-5-11 Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts Yuchen Caiet.al paper - -
2024-3-21 WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models Hichem Ammar Khodjaet.al paper -
detailAccepted for publication at LREC-COLING 2024
2024-3-11 PMET: Precise Model Editing in a Transformer Xiaopeng Liet.al paper code
detailAAAI24
2024-3-6 Probing the Robustness of Time-series Forecasting Models with CounterfacTS Håkon Hanisch Kjærnliet.al paper -
detailSubmitted
2024-2-17 EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries Jiateng Liuet.al paper - -

counterfact*

Date Title Authors PDF Code Comments
2025-2-21 Counterfactual Learning of Stochastic Policies with Continuous Actions Houssam Zenatiet.al paper - -
2025-2-20 Towards counterfactual fairness through auxiliary variables Bowei Tianet.al paper code
detailarXiv admin note: text overlap with arXiv:2307
2025-2-20 Counterfactual Concept Bottleneck Models Gabriele Dominiciet.al paper - -
2025-2-19 Population Dynamics Control with Partial Observations Zhou Luet.al paper - -
2025-2-19 Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images Shengguang Wuet.al paper code
detailProject Website: https://s-vco
2025-2-19 RobustX: Robust Counterfactual Explanations Made Easy Junqi Jianget.al paper - -
2025-2-19 Robust Counterfactual Inference in Markov Decision Processes Jessica Lallyet.al paper - -
2025-2-19 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning Gabriele Dominiciet.al paper - -
2025-2-18 Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI Swati Karet.al paper code -
2025-2-18 KOALA: Knowledge Conflict Augmentations for Robustness in Vision Language Models Peter Carragheret.al paper - -
2025-2-18 Community Notes Moderate Engagement With and Diffusion of False Information Online Isaac Slaughteret.al paper - -
2025-2-18 Asymptotically Unbiased Synthetic Control Methods by Density Matching Masahiro Katoet.al paper -
detailThis study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023
2025-2-18 Testing for Causal Fairness Jiarun Fuet.al paper - -
2025-2-18 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Guanyu Zhouet.al paper code
detailAccepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)

debias learning

Date Title Authors PDF Code Comments
2025-2-11 Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data Florian E. Dorneret.al paper -
detailICLR 2025
2025-2-5 Invariant debiasing learning for recommendation via biased imputation Ting Baiet.al paper code
detailJournal ref:Information Processing & Management
2025-2-3 GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models Jonathan Drechselet.al paper - -
2025-1-30 Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling Dan M. Klugeret.al paper - -
2025-1-29 Collapsed Language Models Promote Fairness Jingxuan Xuet.al paper code
detailICLR 2025
2025-1-22 SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP Yusuke Hirotaet.al paper - -
2025-1-6 Large Language Models for Market Research: A Data-augmentation Approach Mengxin Wanget.al paper -
detailMSC Class:68T50
2024-12-31 Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabiet.al paper - -
2024-12-16 Unleashing the Potential of Model Bias for Generalized Category Discovery Wenbin Anet.al paper code
detailAccepted by AAAI 2025
2024-11-20 Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications Ankita Agarwalet.al paper - -
2024-11-4 Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Liet.al paper -
detailThis manuscript was initially submitted for review in August 2023
2024-10-31 Debiasing Alternative Data for Credit Underwriting Using Causal Inference Chris Lamet.al paper - -
2024-10-19 CosFairNet:A Parameter-Space based Approach for Bias Free Learning Rajeev Ranjan Dwivediet.al paper code -
2024-7-28 Multitask Learning and Bandits via Robust Statistics Kan Xuet.al paper - -

debiasing

Date Title Authors PDF Code Comments
2025-2-19 Investigating the Impact of LLM Personality on Cognitive Bias Manifestation in Automated Decision-Making Tasks Jiangen Heet.al paper - -
2025-2-19 Prediction-Powered Adaptive Shrinkage Estimation Sida Liet.al paper - -
2025-2-19 Statistical inference for high-dimensional convoluted rank regression Leheng Caiet.al paper - -
2025-2-18 Gradient Equilibrium in Online Learning: Theory and Applications Anastasios N. Angelopouloset.al paper code
detailCode available at https://github
2025-2-17 DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning Hongye Qiuet.al paper - -
2025-2-16 A Critical Review of Predominant Bias in Neural Networks Jiazhi Liet.al paper - -
2025-2-14 ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling Wei Chenget.al paper -
detailWork in progress
2025-2-14 Exploring the Camera Bias of Person Re-identification Myungseo Songet.al paper -
detailICLR 2025 (Spotlight)
2025-2-13 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xuet.al paper code
detailAccepted in ICLR 2025
2025-2-12 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework Zhenjie Xuet.al paper code
detailThis work has been accepted at The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025)
2025-2-11 Model-free Methods for Event History Analysis and Efficient Adjustment (PhD Thesis) Alexander Mangulad Christgauet.al paper code
detailPhD thesis
2025-2-11 Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Ruixi Linet.al paper - -
2025-2-10 Bayesian Optimization for Building Social-Influence-Free Consensus Masaki Adachiet.al paper - -

debias

Date Title Authors PDF Code Comments
2025-2-15 Option-ID Based Elimination For Multiple Choice Questions Zhenhao Zhuet.al paper - -
2025-1-8 Linear Multidimensional Regression with Interactive Fixed-Effects Hugo Freemanet.al paper - -
2024-12-26 Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint Yishan Hanet.al paper code -
2024-12-25 Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance Utsav Sadanaet.al paper - -
2024-12-7 TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers Juhyeon Parket.al paper code
detailWACV 2025

shortcut&block

Date Title Authors PDF Code Comments
2025-1-5 PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization Assaf Lahianyet.al paper -
detailJournal ref:in IEEE Access
2024-12-26 Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models Ziqiao Maet.al paper code
detailEMNLP 2023 (Findings)
2024-12-19 Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers Rui Dinget.al paper - -
2024-12-2 Demystify Mamba in Vision: A Linear Attention Perspective Dongchen Hanet.al paper code
detailNeurIPS 2024
2024-11-22 Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhanget.al paper code -
2024-10-23 Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jinget.al paper -
detailAccepted by CIKM'2024
2024-10-7 When does compositional structure yield compositional generalization? A kernel theory Samuel Lipplet.al paper - -
2024-10-3 Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction Amrit Diggavi Seshadriet.al paper - -
2024-9-16 Adaptive Large Language Models By Layerwise Attention Shortcuts Prateek Vermaet.al paper - -
2024-8-9 Integrating Loop Acceleration into Bounded Model Checking Florian Frohnet.al paper - -
2024-8-7 DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs Donghyun Kimet.al paper code
detailECCV 2024
2024-7-1 DIR-BHRNet: A Lightweight Network for Real-time Vision-based Multi-person Pose Estimation on Smartphones Gongjin Lanet.al paper - -
2024-3-22 The latent cognitive structures of social networks Izabel Aguiaret.al paper -
detailJournal ref:Net Sci 12 (2024) 202-233
2024-2-23 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Maet.al paper - -
2024-2-9 Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules Haisheng Fuet.al paper code
detailIEEE Transactions On Image Processing

shortcut&mitigate

Date Title Authors PDF Code Comments
2025-2-17 Unhackable Temporal Rewarding for Scalable Video MLLMs En Yuet.al paper code
detailAccepted by ICLR2025
2025-2-16 Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolottiet.al paper - -
2025-2-12 NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers Angel Yahir Loredo Lopezet.al paper - -
2025-2-11 Neural Flow Samplers with Shortcut Models Wuhao Chenet.al paper - -
2025-2-11 Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Liet.al paper code -
2025-1-31 ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition Joseph Fioresiet.al paper code
detailICLR 2025
2025-1-28 Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework Longzhong Linet.al paper - -
2025-1-23 Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data Frederik Pahdeet.al paper - -
2025-1-9 Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation Daowan Penget.al paper -
detailICME2024
2025-1-9 REFA: Reference Free Alignment for multi-preference optimization Taneesh Guptaet.al paper - -
2025-1-1 Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers Lukas Kuhnet.al paper - -
2024-12-19 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting Shuo Yanget.al paper -
detailShuo and Bardh contributed equally
2024-12-16 PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension Kun Ouyanget.al paper - -
2024-12-6 Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation David Steinmannet.al paper - -

shortcut learning

Date Title Authors PDF Code Comments
2025-2-20 Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning Tian Xieet.al paper - -
2025-2-19 Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Kang Liaoet.al paper code
detailAccepted by ICLR2025
2025-2-19 FantasyID: Face Knowledge Enhanced ID-Preserving Video Generation Yunpeng Zhanget.al paper - -
2025-2-18 Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems Rodrigo Ximeneset.al paper -
detailTo appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
2025-2-15 On Disentangled Training for Nonlinear Transform in Learned Image Compression Han Liet.al paper -
detailAccepted by ICLR2025
2025-2-13 Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning Lisa Wimmeret.al paper -
detailPreprint
2025-2-12 On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richardset.al paper - -
2025-2-12 Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models Anna Deringtonet.al paper - -
2025-2-9 CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Wenhao Zhenget.al paper code -

shortcut

Date Title Authors PDF Code Comments
2025-2-21 Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring Xuansheng Wuet.al paper -
detailAccepted by Technology
2025-2-19 Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above Nishant Balepuret.al paper -
detailIn-progress preprint
2025-2-13 Shortcuts and Transitive-Closure Spanners Approximation Parinya Chalermsooket.al paper - -

fairness

Date Title Authors PDF Code Comments
2025-2-21 Shapley Value-based Approach for Redistributing Revenue of Matchmaking of Private Transactions in Blockchains Rasheedet.al paper - -
2025-2-21 Towards Comparable Active Learning Thorben Werneret.al paper -
detailDeprecated version of the paper
2025-2-21 Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness Piyushi Manupriyaet.al paper - -
2025-2-20 Fair Assortment Planning Qinyi Chenet.al paper - -
2025-2-20 A Meta-Evaluation of Style and Attribute Transfer Metrics Amalie Brogaard Pauliet.al paper - -
2025-2-20 Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition Priya Kasimbeget.al paper -
detailICLR 2025
2025-2-20 CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjooet.al paper - -
2025-2-20 SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features Michael Tschannenet.al paper code
detailModel checkpoints are available at https://github
2025-2-20 The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment Rui Zhuet.al paper - -
2025-2-20 T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation Lijun Liet.al paper code -
2025-2-20 Asymptotic Existence of Class Envy-free Matchings Tomohiko Yokoyamaet.al paper - -
2025-2-19 EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement Wenhui Zhuet.al paper code -
2025-2-19 Blockchain-based Framework for Scalable and Incentivized Federated Learning Bijun Wuet.al paper - -

machine unlearning

Date Title Authors PDF Code Comments
2025-2-20 Instance-Level Difficulty: A Missing Perspective in Machine Unlearning Hammad Rizwanet.al paper - -
2025-2-18 Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization Xiaohua Fenget.al paper -
detailAccepted by ICLR 2025
2025-2-18 Privacy Preservation through Practical Machine Unlearning Robert Dilworthet.al paper - -
2025-2-18 Textual Unlearning Gives a False Sense of Unlearning Jiacheng Duet.al paper - -
2025-2-17 SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning Junkai Chenet.al paper - -
2025-2-17 Bridge the Gaps between Machine Unlearning and AI Regulation Bill Marinoet.al paper - -
2025-2-17 CLEAR: Character Unlearning in Textual and Visual Modalities Alexey Dontsovet.al paper code -
2025-2-17 ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning Manaar Alamet.al paper -
detailThis paper is accepted at 62nd Design Automation Conference (DAC) 2025
2025-2-17 Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liuet.al paper -
detailAccepted by IEEE Open Journal of the Computer Society
2025-2-16 MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models Jiahao Huoet.al paper - -
2025-2-14 Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench Zheyuan Liuet.al paper -
detailNAACL Main 2025
2025-2-14 Adversarial Mixup Unlearning Zhuoyi Penget.al paper -
detailICLR 2025
2025-2-13 Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tuet.al paper - -
2025-2-12 The Utility and Complexity of in- and out-of-Distribution Machine Unlearning Youssef Allouahet.al paper - -
2025-2-11 Machine Unlearning via Information Theoretic Regularization Shizhou Xuet.al paper - -

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