Adversarial Learning

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ICLR 2024 Rethinking Adversarial Robustness in the Context of the Right to be Forgotten ICML 2024 Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Rethinking Label Poisoning for GNNs: Pitfalls and Attacks ICLR 2024 Rethinking Model Ensemble in Transfer-based Adversarial Attacks ICLR 2024 Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers RSS 2024 Rethinking Robustness of Model Attributions AAAI 2024 Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection NeurIPS 2024 Revisiting Adversarial Training at Scale CVPR 2024 Revisiting Adversarial Training Under Long-Tailed Distributions CVPR 2024 Revisiting Character-level Adversarial Attacks for Language Models ICML 2024 RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024 ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NeurIPS 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models ICML 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024 Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024 Robust NAS under adversarial training: benchmark, theory, and beyond ICLR 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024