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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

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ICML 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021
Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CONLL 2020
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability ICML 2020
Constructing a provably adversarially-robust classifier from a high accuracy one AISTATS 2020
Neural Networks with Recurrent Generative Feedback NIPS 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond NIPS 2020
On Adaptive Attacks to Adversarial Example Defenses NIPS 2020
Efficient Exact Verification of Binarized Neural Networks NIPS 2020
Adversarial Robustness of Supervised Sparse Coding NIPS 2020
Do Adversarially Robust ImageNet Models Transfer Better? NIPS 2020
Adversarial robustness via robust low rank representations NIPS 2020
On the Trade-off between Adversarial and Backdoor Robustness NIPS 2020
Reliable Graph Neural Networks via Robust Aggregation NIPS 2020
Certifiably Adversarially Robust Detection of Out-of-Distribution Data NIPS 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks ICML 2020
Abstract Interpretation of Decision Tree Ensemble Classifiers AAAI 2020
Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020
Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020