5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CR2021
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
Yam Sharon, David Berend, Yang Liu +2
Network intrusion attacks are a known threat. To detect such attacks, network intrusion detection systems (NIDSs) have been developed and deployed. These systems apply machine lear…
cs.CR2020★ 1 cited
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
Tzvika Shapira, David Berend, Ishai Rosenberg +3
The performance of a machine learning-based malware classifier depends on the large and updated training set used to induce its model. In order to maintain an up-to-date training s…
cs.CV2017★ 5 cited
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data
Xuefeng Liang, Lixin Fan, Yuen Peng Loh +2
In psychology, theory-driven researches are usually conducted with extensive laboratory experiments, yet rarely tested or disproved with big data. In this paper, we make use of 418…