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Adversarial Learning

4854 directly classified papers

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Papers

Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion ICCV 2025
Adversarial Robust Memory-Based Continual Learner ICCV 2025
Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025
PLA: Prompt Learning Attack against Text-to-Image Generative Models ICCV 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing ICCV 2025
Anti-Tamper Protection for Unauthorized Individual Image Generation ICCV 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025
Prototype Guided Backdoor Defense via Activation Space Manipulation ICCV 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems ACL 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation ACL 2025
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation AAAI 2025
GLEAM: Enhanced Transferable Adversarial Attacks for Vision-Language Pre-training Models via Global-Local Transformations ICCV 2025
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025
Nullspace Disentanglement for Red Teaming Language Models EMNLP 2025
On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach CVPR 2025
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025
HoneypotNet: Backdoor Attacks Against Model Extraction AAAI 2025
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts EMNLP 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025