The Taboo Trap: Behavioural Detection of Adversarial Samples
Authors: Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson | Published: 2018-11-18 | Updated: 2019-11-21
Defense Method
Robust Website Fingerprinting Through the Cache Occupancy Channel
Authors: Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom | Published: 2018-11-17 | Updated: 2019-02-21
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Authors: Faiq Khalid, Muhammmad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique | Published: 2018-11-04
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Authors: Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-04 | Updated: 2020-05-14
Adversarial Examples: Opportunities and Challenges
Authors: Jiliang Zhang, Chen Li | Published: 2018-09-13 | Updated: 2019-09-23
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Authors: Tugba Erpek, Yalin E. Sagduyu, Yi Shi | Published: 2018-07-03 | Updated: 2018-12-13
Delving into adversarial attacks on deep policies
Authors: Jernej Kos, Dawn Song | Published: 2017-05-18
Extending Defensive Distillation
Authors: Nicolas Papernot, Patrick McDaniel | Published: 2017-05-15