IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
Authors: Zilong Lin, Yong Shi, Zhi Xue | Published: 2018-09-06 | Updated: 2022-05-08
Literature Database
Adversarial Reprogramming of Text Classification Neural Networks
Authors: Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | Published: 2018-09-06 | Updated: 2019-08-15
Bridging machine learning and cryptography in defence against adversarial attacks
Authors: Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy | Published: 2018-09-05
Adversarial Attacks on Node Embeddings via Graph Poisoning
Authors: Aleksandar Bojchevski, Stephan Günnemann | Published: 2018-09-04 | Updated: 2019-05-27
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition
Authors: Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen | Published: 2018-09-04
IoTDots: A Digital Forensics Framework for Smart Environments
Authors: Leonardo Babun, Amit Kumar Sikder, Abbas Acar, A. Selcuk Uluagac | Published: 2018-09-03
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Authors: Dorjan Hitaj, Luigi V. Mancini | Published: 2018-09-03
Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Authors: Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang | Published: 2018-09-03 | Updated: 2019-07-22
Machine Learning Methods for Network Intrusion Detection
Authors: Mouhammad Alkasassbeh, Mohammad Almseidin | Published: 2018-09-01
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Authors: Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong, Wei Yang, Tao Xie, Bo Li | Published: 2018-08-31 | Updated: 2019-07-27