Adversarial Learning

The Emergence of High-Level Semantics in a Signaling Game NAACL 2024 Theoretical Understanding of Learning from Adversarial Perturbations ICLR 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks ICML 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline ICML 2024 Threaten Spiking Neural Networks through Combining Rate and Temporal Information ICLR 2024 Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Calibrated Losses for Adversarial Robust Reject Option Classification ACML 2024 Towards Fairness-Aware Adversarial Learning CVPR 2024 Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024 Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models ECCV 2024 Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024 Towards Robustness to Natural Variations and Distribution Shift (Student Abstract) AAAI 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 Towards Stable Representations for Protein Interface Prediction NeurIPS 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World CVPR 2024 Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024 TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024 Training for Stable Explanation for Free NeurIPS 2024