adversarial manipulation

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization ACL 2026 A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks ICML 2025 Attacks by Content: Automated Fact-checking is an AI Security Issue EMNLP 2025 Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations EMNLP 2025 Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations EMNLP 2025 Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards ICML 2025 JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs AAAI 2025 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces WACV 2024 Architectural Backdoors in Neural Networks CVPR 2023 On Manipulating Weight Predictions in Signed Weighted Networks AAAI 2023 Strategic Classification under Unknown Personalized Manipulation NeurIPS 2023 Strategic Classification with Unknown User Manipulations ICML 2023 Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations AISTATS 2022 Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation CVPR 2021 Fooling Neural Network Interpretations via Adversarial Model Manipulation NeurIPS 2019 Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions ICML 2018 Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NeurIPS 2017