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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation IJCNLP 2021
Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021
Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems CVPR 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021
Initiative Defense against Facial Manipulation AAAI 2021
A General Framework for Adversarial Label Learning JMLR 2021
On the Hardness of Robust Classification JMLR 2021
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs EMNLP 2021
House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects CVPR 2021
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation CVPR 2021
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense SEMEVAL 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection SEMEVAL 2021
How Well Generative Adversarial Networks Learn Distributions JMLR 2021
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021
Adversarial Feature Disentanglement for Long-Term Person Re-identification IJCAI 2021
KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently EMNLP 2021
Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021