1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.SE2021
Distribution Awareness for AI System Testing
David Berend
As Deep Learning (DL) is continuously adopted in many safety critical applications, its quality and reliability start to raise concerns. Similar to the traditional software develop…
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…