Adversarial Learning

MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model CVPR 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NeurIPS 2024 Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NeurIPS 2024 MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024 Multi-modal Adversarial Training for Zero-Shot Voice Cloning Interspeech 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024 NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NeurIPS 2024 Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024 Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors ACL 2024 NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024 Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024 NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components IJCAI 2024 NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024 Neural Codec-based Adversarial Sample Detection for Speaker Verification Interspeech 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024 Offline Reward Perturbation Boosts Distributional Shift in Online RL UAI 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024