Adversarial Learning
1,500 papers
Papers per year
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Papers
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
ICML 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
NeurIPS 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
ACL 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
AAAI 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection
CVPR 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
AAAI 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
AISTATS 2021
Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN
Interspeech 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
CVPR 2021
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation
Interspeech 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
ACL 2021
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
ICLR 2021
Weight-covariance alignment for adversarially robust neural networks
ICML 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems
CVPR 2021
Zero-Shot Adversarial Quantization
CVPR 2021
A Causal View on Robustness of Neural Networks
NeurIPS 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data
AAAI 2020
Actor Critic Deep Reinforcement Learning for Neural Malware Control
AAAI 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
ICML 2020
Adversarial Learning for 3D Matching
UAI 2020
Adversarially Robust Distillation
AAAI 2020
Adversarial Policies: Attacking Deep Reinforcement Learning
ICLR 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models
ICML 2020
Adversarial robustness via robust low rank representations
NeurIPS 2020