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adversarial robustness

1335 papers

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Also known as

UAP PAR ADV AR

Co-occurring keywords

adversarial training (1261) adversarial attack (1599) neural network (6616) adversarial example (563) adversarial learning (1592) model robustness (478) adversarial defense (324) large language model (12755) certified robustness (116) adversarial perturbation (376)

Papers

A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022
Double Sampling Randomized Smoothing ICML 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations ICML 2022
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers ICML 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022
DDDM: A Brain-Inspired Framework for Robust Classification IJCAI 2022
Robust Optimal Classification Trees against Adversarial Examples AAAI 2022
REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions WACV 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations IJCAI 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds NIPS 2022
Why Do Artificially Generated Data Help Adversarial Robustness NIPS 2022
Non-Uniform Adversarially Robust Pruning AUTOML 2022
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”? ACL 2022
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022
Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022
Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts COLING 2022
Robust Binary Models by Pruning Randomly-initialized Networks NIPS 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning NIPS 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NIPS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NIPS 2022
Fairness-Aware PAC Learning from Corrupted Data JMLR 2022
Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022