Adversarial Learning

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021 Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling EACL 2021 Adversarial Teacher-Student Representation Learning for Domain Generalization NeurIPS 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 Adversarial Training for Machine Reading Comprehension with Virtual Embeddings ACL 2021 Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus. EACL 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021 Adversarial Training Reduces Information and Improves Transferability AAAI 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021 Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate ICCV 2021 Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models ICCV 2021 Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning NAACL 2021 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition IJCAI 2021 Adv-OLM: Generating Textual Adversaries via OLM EACL 2021 AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER ACL 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021 Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning Interspeech 2021 A General Framework for Adversarial Label Learning JMLR 2021 A General Framework For Detecting Anomalous Inputs to DNN Classifiers ICML 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction AAAI 2021 Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets AISTATS 2021