Co-occurring keywords · papers mentioning both
Papers
On the Limitations of Stochastic Pre-processing Defenses
NeurIPS 2022
PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks
COLING 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
NeurIPS 2022
Perturbation type categorization for multiple adversarial perturbation robustness
UAI 2022
Predicting Out-of-Distribution Error with the Projection Norm
ICML 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022
Provably Robust Adversarial Examples
ICLR 2022
Random Normalization Aggregation for Adversarial Defense
NeurIPS 2022
Residue-Based Natural Language Adversarial Attack Detection
NAACL 2022
Rethinking Adversarial Transferability from a Data Distribution Perspective
ICLR 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
NeurIPS 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
ICLR 2022
Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training
AACL 2022
Robust Optimal Classification Trees against Adversarial Examples
AAAI 2022
Robust Weight Perturbation for Adversarial Training
IJCAI 2022
R&R: Metric-guided Adversarial Sentence Generation
AACL 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
CVPR 2022
Simulated Adversarial Testing of Face Recognition Models
CVPR 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
CoRL 2022
Text Characterization Toolkit (TCT)
AACL 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
EMNLP 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples
EMNLP 2022
“That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks
ACL 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
Towards Consistency in Adversarial Classification
NeurIPS 2022