activity
20182023
most citedA Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems

137 citations · 329 across the 21 of their papers we have counts for

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Showing cs.CRShow all

10 papers · 1 filter

cs.CR2023

SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs

Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya +3

Dynamic partial reconfiguration enables multi-tenancy in cloud-based FPGAs, which presents security challenges for tenants, IPs, and data. Malicious users can exploit FPGAs for rem…

cs.CR2021★ 1 cited

Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities

Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique

Side-channel attacks on microprocessors, like the RISC-V, exhibit security vulnerabilities that lead to several design challenges. Hence, it is imperative to study and analyze thes…

cs.CR2021★ 14 cited

FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack

Tolulope Odetola, Faiq Khalid, Travis Sandefur +2

To reduce the time-to-market and access to state-of-the-art techniques, CNN hardware mapping and deployment on embedded accelerators are often outsourced to untrusted third parties…

cs.CR2021

Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks

Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique

From tiny pacemaker chips to aircraft collision avoidance systems, the state-of-the-art Cyber-Physical Systems (CPS) have increasingly started to rely on Deep Neural Networks (DNNs…

cs.CR2020

GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking

Lilas Alrahis, Satwik Patnaik, Faiq Khalid +4

In this paper, we propose GNNUnlock, the first-of-its-kind oracle-less machine learning-based attack on provably secure logic locking that can identify any desired protection logic…

cs.CR2020★ 26 cited

MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices

Faiq Khalid, Syed Rafay Hasan, Sara Zia +3

Traditional learning-based approaches for run-time Hardware Trojan detection require complex and expensive on-chip data acquisition frameworks and thus incur high area and power ov…

cs.CR2019★ 13 cited

RED-Attack: Resource Efficient Decision based Attack for Machine Learning

Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif +3

Due to data dependency and model leakage properties, Deep Neural Networks (DNNs) exhibit several security vulnerabilities. Several security attacks exploited them but most of them…

cs.CR2019★ 12 cited

SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection

Faiq Khalid, Syed Rafay Hasan, Osman Hasan +1

Timely detection of Hardware Trojans (HTs) has become a major challenge for secure integrated circuits. We present a run-time methodology for HT detection that employs a multi-para…

cs.CR2018★ 1 cited

ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits

Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman +3

Security vulnerability analysis of Integrated Circuits using conventional design-time validation and verification techniques (like simulations, emulations, etc.) is generally a com…

cs.CR2018

TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint

Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman +4

Conventional Hardware Trojan (HT) detection techniques are based on the validation of integrated circuits to determine changes in their functionality, and on non-invasive side-chan…