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

The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training ACL 2023

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications ACL 2023

BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023

Robust and Actively Secure Serverless Collaborative Learning NIPS 2023

Use perturbations when learning from explanations NIPS 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks ICML 2023

Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023

Fast Adversarial Training with Smooth Convergence ICCV 2023

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting ICCV 2023

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing NIPS 2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023

Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023

Sample Attackability in Natural Language Adversarial Attacks ACL 2023

On Evaluating Adversarial Robustness of Large Vision-Language Models NIPS 2023

Robust Linear Regression for General Feature Distribution AISTATS 2023

A General Framework for Robust G-Invariance in G-Equivariant Networks NIPS 2023

Multi-scale Diffusion Denoised Smoothing NIPS 2023

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

Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models ICCV 2023

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023