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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023

Adversarial Text Generation by Search and Learning EMNLP 2023

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference EMNLP 2023

Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023

Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023

Efficient Decision-based Black-box Patch Attacks on Video Recognition ICCV 2023

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023

Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NIPS 2023

Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023

Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023

ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023

Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023

Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023

VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023

Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023

Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023

Raising the Cost of Malicious AI-Powered Image Editing ICML 2023