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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks AAAI 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification NIPS 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024
Diffusion Models Meet Image Counter-Forensics WACV 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024
Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024
OSLO: One-Shot Label-Only Membership Inference Attacks NIPS 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NIPS 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NIPS 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NIPS 2024
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NIPS 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NIPS 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024