Adversarial Learning

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024 BAN: Detecting Backdoors Activated by Adversarial Neuron Noise NeurIPS 2024 BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models EMNLP 2024 Benign Overfitting in Adversarial Training of Neural Networks ICML 2024 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024 Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks ICML 2024 Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NeurIPS 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video AAAI 2024 Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024 Boosting Adversarial Training via Fisher-Rao Norm-based Regularization CVPR 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition Interspeech 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NeurIPS 2024 Branch-GAN: Improving Text Generation with (not so) Large Language Models ICLR 2024 Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack NeurIPS 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization COLT 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates ICML 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024 Can Implicit Bias Imply Adversarial Robustness? ICML 2024