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Adversarial Learning

5,204 papers

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Papers

Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction ICCV 2025 Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding EMNLP 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization CVPR 2025 Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions ICCV 2025 Heavy-tailed Estimation is Easier than Adversarial Contamination COLT 2025 HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model IJCAI 2025 Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models ICCV 2025 Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents EMNLP 2025 Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning AAAI 2025 Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks WACV 2025 HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification EMNLP 2025 HoneypotNet: Backdoor Attacks Against Model Extraction AAAI 2025 How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025 HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval AAAI 2025 Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script IJCNLP 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges AAAI 2025 I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models CVPR 2025 IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization ICCV 2025 I Can Hear You: Selective Robust Training for Deepfake Audio Detection ICLR 2025 ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks ICML 2025 Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025 Identifying and Understanding Cross-Class Features in Adversarial Training ICML 2025 Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025 IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation CVPR 2025