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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks CVPR 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples NIPS 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NIPS 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020
Towards Robust Image Classification Using Sequential Attention Models CVPR 2020
Attack to Explain Deep Representation CVPR 2020
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space CVPR 2020
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020
Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020
Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020
Adversarial Training for Commonsense Inference ACL 2020
A Self-supervised Approach for Adversarial Robustness CVPR 2020
Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020
Boosting the Transferability of Adversarial Samples via Attention CVPR 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020