A Linear Approach to Data Poisoning
Authors: Diego Granziol, Donald Flynn | Published: 2025-05-21
Statistical Analysis
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
Authors: Arash Rahnama, Andrew Tseng | Published: 2020-05-20 | Updated: 2020-09-28
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Authors: Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov | Published: 2020-01-14
Constructing a provably adversarially-robust classifier from a high accuracy one
Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2019-12-16
Defending Against Adversarial Machine Learning
Authors: Alison Jenkins | Published: 2019-11-26
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization
Authors: Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, Shih-wei Liao | Published: 2019-03-19
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Authors: Umur Aybars Ciftci, Ilke Demir | Published: 2019-01-08 | Updated: 2020-07-19
Private Selection from Private Candidates
Authors: Jingcheng Liu, Kunal Talwar | Published: 2018-11-19
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Authors: Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song | Published: 2018-04-07
You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
Authors: Beatrice Perez, Mirco Musolesi, Gianluca Stringhini | Published: 2018-03-27 | Updated: 2018-05-14