conftrace_

adversarial example

564 papers

Explore in graph

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

Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation NAACL 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control CORL 2022
“That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks ACL 2022
R&R: Metric-guided Adversarial Sentence Generation AACL 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples EMNLP 2022
Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022
Text Characterization Toolkit (TCT) AACL 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer CVPR 2022
Gradient Methods Provably Converge to Non-Robust Networks NIPS 2022
Vision Transformers Are Robust Learners AAAI 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them ICML 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NIPS 2022
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NIPS 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks ICML 2022
Understanding Robust Learning through the Lens of Representation Similarities NIPS 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NIPS 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? NIPS 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks NIPS 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NIPS 2022