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Papers
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
ICLR 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
NeurIPS 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
ICLR 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
ICML 2019
Theoretically Principled Trade-off between Robustness and Accuracy
ICML 2019
Towards the first adversarially robust neural network model on MNIST
ICLR 2019
Transferable Adversarial Attacks for Image and Video Object Detection
IJCAI 2019
Understanding the Effect of Textual Adversaries in Multimodal Machine Translation
EMNLP 2019
Universal Perturbation Attack Against Image Retrieval
ICCV 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
ICML 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
ICML 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
NAACL 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
NAACL 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
NeurIPS 2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
CoNLL 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
CoNLL 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
ICML 2018
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
ICML 2018
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
ACL 2018
Black-box Adversarial Attacks with Limited Queries and Information
ICML 2018
Certified Defenses against Adversarial Examples
ICLR 2018
Certifying Some Distributional Robustness with Principled Adversarial Training
ICLR 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
ICLR 2018
Constructing Unrestricted Adversarial Examples with Generative Models
NeurIPS 2018
Countering Adversarial Images using Input Transformations
ICLR 2018