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Adversarial Learning

1,292 papers

Papers per year

1
130
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Papers

The Attacker’s Perspective on Automatic Speaker Verification: An Overview INTERSPEECH 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition INTERSPEECH 2020
x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification INTERSPEECH 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks RSS 2020
Adversarial Learning for 3D Matching UAI 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces WACV 2020
Multi-way Encoding for Robustness WACV 2020
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Adversarial training for free! NIPS 2019
Defending Neural Backdoors via Generative Distribution Modeling NIPS 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Metric Learning for Adversarial Robustness NIPS 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Certifiable Robustness to Graph Perturbations NIPS 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Nonzero-sum Adversarial Hypothesis Testing Games NIPS 2019
Adversarial Active Exploration for Inverse Dynamics Model Learning CORL 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019