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Papers
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
EMNLP 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
NeurIPS 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
AAAI 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
ICML 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
ICML 2022
Detecting textual adversarial examples through randomized substitution and vote
UAI 2022
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
ACL 2022
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors
CVPR 2022
Diffusion Models for Adversarial Purification
ICML 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
ICML 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
NeurIPS 2022
DST: Dynamic Substitute Training for Data-Free Black-Box Attack
CVPR 2022
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
EMNLP 2022
Efficient and transferable adversarial examples from bayesian neural networks
UAI 2022
Enhancing the Transferability of Adversarial Examples with Random Patch
IJCAI 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
AAAI 2022
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
AISTATS 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
CVPR 2022
Fast AdvProp
ICLR 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
ICML 2022
Formulating Robustness Against Unforeseen Attacks
NeurIPS 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
NAACL 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
Gradient Methods Provably Converge to Non-Robust Networks
NeurIPS 2022