Adversarial Learning

Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NeurIPS 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks AAAI 2024 Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection ICML 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NeurIPS 2024 Unelicitable Backdoors via Cryptographic Transformer Circuits NeurIPS 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 Unleashing Network Potentials for Semantic Scene Completion CVPR 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 Vulnerabilities of Large Language Models to Adversarial Attacks ACL 2024 WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection ACL 2024 Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models CVPR 2024 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NeurIPS 2024 Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation ICML 2024 When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024 Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024