Adversarial Learning

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted CVPR 2025 Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models ACL 2025 Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks ICLR 2025 Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning ICML 2025 X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP ICML 2025 Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark EMNLP 2025 Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation IJCAI 2025 ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025 0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task SemEval 2024 AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes IJCAI 2024 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation EACL 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Active Reinforcement Learning for Robust Building Control AAAI 2024 A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024 Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024