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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Universal Adversarial Training AAAI 2020
Adversarially Robust Distillation AAAI 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020
Weight Poisoning Attacks on Pretrained Models ACL 2020
ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020
Learning Semantic-aware Normalization for Generative Adversarial Networks NIPS 2020
Adversarial Learning for 3D Matching UAI 2020
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks RSS 2020
Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020
A principled approach for generating adversarial images under non-smooth dissimilarity metrics AISTATS 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020
Towards Transferable Targeted Attack CVPR 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020
Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020