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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

White-Box Multi-Objective Adversarial Attack on Dialogue Generation ACL 2023
Architectural Backdoors in Neural Networks CVPR 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023
Towards Imperceptible Document Manipulations against Neural Ranking Models ACL 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023
Towards Transferable Targeted Adversarial Examples CVPR 2023
Physical-World Optical Adversarial Attacks on 3D Face Recognition CVPR 2023
Physically Adversarial Infrared Patches With Learnable Shapes and Locations CVPR 2023
Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023
Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts ACL 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023
Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script ACL 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks ACL 2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition CVPR 2023
Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023
An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023
Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023