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Adversarial Learning

4854 directly classified papers

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Papers

Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020
Modeling Biological Immunity to Adversarial Examples CVPR 2020
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction CVPR 2020
Benchmarking Adversarial Robustness on Image Classification CVPR 2020
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients CVPR 2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020
Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations CVPR 2020
Robust Superpixel-Guided Attentional Adversarial Attack CVPR 2020
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA AAAI 2020
Second-Order NLP Adversarial Examples EMNLP 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NIPS 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020
Adaptively Multi-Objective Adversarial Training for Dialogue Generation IJCAI 2020
Discriminative Adversarial Domain Adaptation AAAI 2020
Adversarial Semantic Collisions EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020
Improving ECG Classification Using Generative Adversarial Networks AAAI 2020
A Model of Fake Data in Data-driven Analysis JMLR 2020
On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020
Debiasing knowledge graph embeddings EMNLP 2020
Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020