conftrace_
← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4,854 papers

Papers per year

Papers

Adversarial Learning from Crowds AAAI 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022
Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal NIPS 2022
Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022
Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022
AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification INTERSPEECH 2022
Amsqr at SemEval-2022 Task 4: Towards AutoNLP via Meta-Learning and Adversarial Data Augmentation for PCL Detection SEMEVAL 2022
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NIPS 2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation CVPR 2022
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation CVPR 2022
Corruption-robust Offline Reinforcement Learning AISTATS 2022
Generative Trees: Adversarial and Copycat ICML 2022
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation COLING 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs JMLR 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NIPS 2022
Geometry-Inspired Top-K Adversarial Perturbations WACV 2022
Merry Go Round: Rotate a Frame and Fool a DNN CVPR 2022
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NIPS 2022
Simulated Adversarial Testing of Face Recognition Models CVPR 2022
Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition INTERSPEECH 2022