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Adversarial Learning

4854 directly classified papers

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Papers

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation ACL 2020
On Adaptive Attacks to Adversarial Example Defenses NIPS 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples NIPS 2020
Stylized Text Generation: Approaches and Applications ACL 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NIPS 2020
Constructing a provably adversarially-robust classifier from a high accuracy one AISTATS 2020
Learning Implicit Text Generation via Feature Matching ACL 2020
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation IJCAI 2020
Towards Accurate and Robust Domain Adaptation under Noisy Environments IJCAI 2020
Input-Aware Dynamic Backdoor Attack NIPS 2020
Adversarial Training for Commonsense Inference ACL 2020
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NIPS 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples NIPS 2020
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NIPS 2020
Adversarial Learning for Robust Deep Clustering NIPS 2020
Optimal Learning from Verified Training Data NIPS 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers NIPS 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback NIPS 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NIPS 2020
Adversarial Deep Network Embedding for Cross-Network Node Classification AAAI 2020
Adversarial-Learned Loss for Domain Adaptation AAAI 2020
Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation ACL 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks NIPS 2020