Practical Attacks Against Graph-based Clustering
Authors: Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou | Published: 2017-08-29
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
Authors: Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli | Published: 2017-08-29
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features
Authors: Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik | Published: 2017-08-28 | Updated: 2019-05-10
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
Authors: Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang | Published: 2017-08-26
Plausible Deniability for Privacy-Preserving Data Synthesis
Authors: Vincent Bindschaedler, Reza Shokri, Carl A. Gunter | Published: 2017-08-26
Modular Learning Component Attacks: Today’s Reality, Tomorrow’s Challenge
Authors: Xinyang Zhang, Yujie Ji, Ting Wang | Published: 2017-08-25
Knock Knock, Who’s There? Membership Inference on Aggregate Location Data
Authors: Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro | Published: 2017-08-21 | Updated: 2017-11-29
Evasion Attacks against Machine Learning at Test Time
Authors: Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli | Published: 2017-08-21
Secure Search on the Cloud via Coresets and Sketches
Authors: Adi Akavia, Dan Feldman, Hayim Shaul | Published: 2017-08-19
Learning Universal Adversarial Perturbations with Generative Models
Authors: Jamie Hayes, George Danezis | Published: 2017-08-17 | Updated: 2018-01-05