4 citations · 5 across the 4 of their papers we have counts for
5 papers
AutoML in Cybersecurity: An Empirical Study
Sherif Saad, Kevin Shi, Mohammed Mamun +1
Automated machine learning (AutoML) has emerged as a promising paradigm for automating machine learning (ML) pipeline design, broadening AI adoption. Yet its reliability in complex…
Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering
Shiv Sondhi, Sherif Saad, Kevin Shi +2
Blockchain and distributed ledger technologies rely on distributed consensus algorithms. In recent years many consensus algorithms and protocols have been proposed; most of them ar…
DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning
Mohammad Mamun, Kevin Shi
APT, known as Advanced Persistent Threat, is a difficult challenge for cyber defence. These threats make many traditional defences ineffective as the vulnerabilities exploited by t…
Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains
Shiv Sondhi, Sherif Saad, Kevin Shi +2
A critical component of any blockchain or distributed ledger technology (DLT) platform is the consensus algorithm. Blockchain consensus algorithms are the primary vehicle for the n…
A cryptographic approach to black box adversarial machine learning
Kevin Shi, Daniel Hsu, Allison Bishop
We propose a new randomized ensemble technique with a provable security guarantee against black-box transfer attacks. Our proof constructs a new security problem for random binary…