Adversarial Learning

TASAR: Transfer-based Attack on Skeletal Action Recognition ICLR 2025 Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences ACL 2025 Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition IJCAI 2025 Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking ICCV 2025 TempParaphraser: “Heating Up” Text to Evade AI-Text Detection through Paraphrasing EMNLP 2025 Test-Time Backdoor Detection for Object Detection Models CVPR 2025 Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints AAAI 2025 The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration EMNLP 2025 The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan NAACL 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025 The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking EMNLP 2025 The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems ACL 2025 The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs ACL 2025 TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging ICCV 2025 Topological Signatures of Adversaries in Multimodal Alignments ICML 2025 To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation ICLR 2025 Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks COLING 2025 Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation AAAI 2025 Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment ICCV 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025