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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NIPS 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024
Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples AAAI 2024
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly AAAI 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NIPS 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text ACL 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding ACL 2024
The GAN is dead; long live the GAN! A Modern GAN Baseline NIPS 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024
Taxonomy Driven Fast Adversarial Training AAAI 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NIPS 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better ACL 2024
Time-Constrained Robust MDPs NIPS 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
Defending Object Detection Models Against Image Distortions WACV 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NIPS 2024