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

Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022
Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples COLING 2022
PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks COLING 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022
Predicting Out-of-Distribution Error with the Projection Norm ICML 2022
On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks WACV 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? NIPS 2022
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NIPS 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation NIPS 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation NAACL 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NIPS 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control CORL 2022
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks NIPS 2022
R&R: Metric-guided Adversarial Sentence Generation AACL 2022
Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022
Text Characterization Toolkit (TCT) AACL 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity NIPS 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them ICML 2022
Towards Consistency in Adversarial Classification NIPS 2022