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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

Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022
Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models AISTATS 2022
Transductive Robust Learning Guarantees AISTATS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NIPS 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NIPS 2022
Improved techniques for deterministic l2 robustness NIPS 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal NIPS 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NIPS 2022
Semantic-Preserving Adversarial Code Comprehension COLING 2022
Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022
Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022
Understanding The Robustness in Vision Transformers ICML 2022
Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NIPS 2022
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness NIPS 2022
Lethal Dose Conjecture on Data Poisoning NIPS 2022
Formulating Robustness Against Unforeseen Attacks NIPS 2022
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples NIPS 2022
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NIPS 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NIPS 2022
On the Limitations of Stochastic Pre-processing Defenses NIPS 2022
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NIPS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022