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

Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise AAAI 2023

Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023

Robust Single Image Reflection Removal Against Adversarial Attacks CVPR 2023

SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023

Robust Linear Regression for General Feature Distribution AISTATS 2023

Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View NIPS 2023

Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023

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

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

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

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

Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023

Use perturbations when learning from explanations NIPS 2023

BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023

PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023

Robust and Actively Secure Serverless Collaborative Learning NIPS 2023

Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023

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

Provably Bounding Neural Network Preimages NIPS 2023

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

On the Role of Randomization in Adversarially Robust Classification NIPS 2023

Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023