conftrace_

adversarial example

564 papers

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Also known as

AE

Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) black-box attack (237) adversarial training (1262) neural network (6616) model robustness (480) deep neural network (1803) adversarial perturbation (384) text classification (6793) adversarial learning (1595)

Papers

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability ICCV 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023
How to Choose your Best Allies for a Transferable Attack? ICCV 2023
Optimal Transport Model Distributional Robustness NIPS 2023
StyLess: Boosting the Transferability of Adversarial Examples CVPR 2023
Towards Transferable Targeted Adversarial Examples CVPR 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023
Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NIPS 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence ICCV 2023
CGBA: Curvature-aware Geometric Black-box Attack ICCV 2023
Generalist: Decoupling Natural and Robust Generalization CVPR 2023
Identification of the Adversary from a Single Adversarial Example ICML 2023
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions ICCV 2023
There is more than one kind of robustness: Fooling Whisper with adversarial examples INTERSPEECH 2023
Backpropagation Path Search On Adversarial Transferability ICCV 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023
Downstream-agnostic Adversarial Examples ICCV 2023
Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks CVPR 2023
Boosting Adversarial Transferability via Gradient Relevance Attack ICCV 2023
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NIPS 2023