Adversarial Learning
1,500 papers
Papers per year
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Papers
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention
CVPR 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
CVPR 2020
On the Trade-off between Adversarial and Backdoor Robustness
NeurIPS 2020
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
CVPR 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection
CVPR 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
EMNLP 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
ICML 2020
Polishing Decision-Based Adversarial Noise With a Customized Sampling
CVPR 2020
Precise Tradeoffs in Adversarial Training for Linear Regression
COLT 2020
Randomization matters How to defend against strong adversarial attacks
ICML 2020
Reevaluating Adversarial Examples in Natural Language
EMNLP 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory
CVPR 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
WACV 2020
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks
RSS 2020
Robustness Guarantees for Deep Neural Networks on Videos
CVPR 2020
Robustness to Modification with Shared Words in Paraphrase Identification
EMNLP 2020
Robust Superpixel-Guided Attentional Adversarial Attack
CVPR 2020
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
AAAI 2020
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions
ACL 2020
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
EMNLP 2020
Second-Order NLP Adversarial Examples
EMNLP 2020
Self-Robust 3D Point Recognition via Gather-Vector Guidance
CVPR 2020
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
AAAI 2020
Single-Step Adversarial Training With Dropout Scheduling
CVPR 2020