activity
20162026
most citedA Tutorial on Adversarial Learning Attacks and Countermeasures

7 citations · 19 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AI2026

A Deterministic and Auditable AI Security Risk Assessment Framework with ATLAS Aligned Executable Rules and Formal Verification

Yixuan Huang, Basel Halak, Boojoong Kang

Artificial intelligence systems are increasingly deployed in high impact and safety critical settings, yet security assessment remains difficult to reproduce and defend under audit…

cs.CR2024★ 1 cited

A Security Assessment tool for Quantum Threat Analysis

Basel Halak, Cristian Sebastian Csete, Edward Joyce +5

The rapid advancement of quantum computing poses a significant threat to many current security algorithms used for secure communication, digital authentication, and information enc…

cs.CR2024

SEA Cache: A Performance-Efficient Countermeasure for Contention-based Attacks

Xiao Liu, Mark Zwolinski, Basel Halak

Many cache designs have been proposed to guard against contention-based side-channel attacks. One well-known type of cache is the randomized remapping cache. Many randomized remapp…

cs.CR2024

DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs

Haoyu Wang, Basel Halak, Jianjie Ren +1

This study introduces a refined Flooding Injection Rate-adjustable Denial-of-Service (DoS) model for Network-on-Chips (NoCs) and more importantly presents DL2Fence, a novel framewo…

cs.CR2023★ 4 cited

Software supply chain: review of attacks, risk assessment strategies and security controls

Betul Gokkaya, Leonardo Aniello, Basel Halak

The software product is a source of cyber-attacks that target organizations by using their software supply chain as a distribution vector. As the reliance of software projects on o…

cs.CR2022★ 7 cited

A Tutorial on Adversarial Learning Attacks and Countermeasures

Cato Pauling, Michael Gimson, Muhammed Qaid +2

Machine learning algorithms are used to construct a mathematical model for a system based on training data. Such a model is capable of making highly accurate predictions without be…