Adversarial Learning

SynthProv: Interpretable Framework for Profiling Identity Leakage WACV 2024 Taxonomy Driven Fast Adversarial Training AAAI 2024 Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024 Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024 TETRIS: Towards Exploring the Robustness of Interactive Segmentation AAAI 2024 The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024 The data-driven transferable adversarial space ACML 2024 The GAN is dead; long live the GAN! A Modern GAN Baseline NeurIPS 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 Time-Constrained Robust MDPs NeurIPS 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Towards Fairness-Aware Adversarial Learning CVPR 2024 Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 Towards Stable Representations for Protein Interface Prediction NeurIPS 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World CVPR 2024 Towards Trustworthy Deep Learning AAAI 2024 TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution AAAI 2024 Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts CVPR 2024 Training Implicit Generative Models via an Invariant Statistical Loss AISTATS 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024