Adversarial Learning
5,204 papers
Papers per year
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18
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Papers
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NeurIPS 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
AAAI 2022
TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition
EMNLP 2022
Transductive Robust Learning Guarantees
AISTATS 2022
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
CVPR 2022
Transferable 3D Adversarial Textures Using End-to-End Optimization
WACV 2022
Transferable Adversarial Attack based on Integrated Gradients
ICLR 2022
Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules
IJCAI 2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
NeurIPS 2022
TRAttack: Text Rewriting Attack Against Text Retrieval
ACL 2022
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
NAACL 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NeurIPS 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
CVPR 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
ICLR 2022
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
CVPR 2022
Understanding Intrinsic Robustness Using Label Uncertainty
ICLR 2022
Understanding Robust Overfitting of Adversarial Training and Beyond
ICML 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
AAAI 2022
UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator
NeurIPS 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NeurIPS 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
Unsupervised Robust Domain Adaptation Without Source Data
WACV 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
NeurIPS 2022
Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models
AAAI 2022