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adversarial example

647 papers

AE

Papers

ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025 Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data ICLR 2025 Adversarial Training for Probabilistic Robustness ICCV 2025 AIM: Additional Image Guided Generation of Transferable Adversarial Attacks AAAI 2025 AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples AAAI 2025 Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models EMNLP 2025 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models AAAI 2025 Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025 Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature AAAI 2025 Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025 CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models ICML 2025 Distraction is All You Need for Multimodal Large Language Model Jailbreaking CVPR 2025 Doppelgangers and Adversarial Vulnerability CVPR 2025 Droid: A Resource Suite for AI-Generated Code Detection EMNLP 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025 Enhancing the Adversarial Robustness via Manifold Projection AAAI 2025 Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain IJCAI 2025 Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching ICCV 2025 Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025 Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples EMNLP 2025 Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on SO(d) COLT 2025 GLEAM: Enhanced Transferable Adversarial Attacks for Vision-Language Pre-training Models via Global-Local Transformations ICCV 2025