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Adversarial Learning

4854 directly classified papers

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Papers

Adversarial Learning for 3D Matching UAI 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020
Two-branch Recurrent Network for Isolating Deepfakes in Videos ECCV 2020
Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020
Instance Selection for GANs NIPS 2020
Selfish Robustness and Equilibria in Multi-Player Bandits COLT 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them NIPS 2020
Heuristic Black-Box Adversarial Attacks on Video Recognition Models AAAI 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020
Noise Robust Generative Adversarial Networks CVPR 2020
Invariant Representations through Adversarial Forgetting AAAI 2020
Adversarially Robust Distillation AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
Towards Transferable Targeted Attack CVPR 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020
Boosting the Transferability of Adversarial Samples via Attention CVPR 2020
Toward a Universal Model for Shape From Texture CVPR 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020
Weighted-Sampling Audio Adversarial Example Attack AAAI 2020
An Efficient Adversarial Attack for Tree Ensembles NIPS 2020
Collaborative Sampling in Generative Adversarial Networks AAAI 2020
Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020