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ORCIDFaiq Khalid
Faiq Khalid Lodhi
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- affiliation: TU Wien, Vienna, Austria
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2020 – today
- 2023
[j17]Adewale Adeyemo
, Jonathan J. Sanderson, Tolulope A. Odetola, Faiq Khalid, Syed Rafay Hasan:
StAIn: Stealthy Avenues of Attacks on Horizontally Collaborated Convolutional Neural Network Inference and Their Mitigation. IEEE Access 11: 10520-10534 (2023)- [j16]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96: 104738 (2023) - [j15]Tolulope A. Odetola, Adewale Adeyemo, Faiq Khalid, Syed Rafay Hasan:
FM-ModComp: Feature Map Modification and Hardware-Software Co-Comparison for secure hardware accelerator-based CNN inference. Microprocess. Microsystems 100: 104827 (2023) - [c38]Enahoro Oriero, Faiq Khalid, Syed Rafay Hasan:
DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans. HASP@MICRO 2023: 47-55 - [i21]Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique:
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR abs/2303.06486 (2023) - [i20]Enahoro Oriero, Faiq Khalid, Syed Rafay Hasan:
DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans. CoRR abs/2310.03994 (2023) - 2022
- [j14]Tolulope A. Odetola, Katie M. Groves, Muhammed Yousufuddin, Faiq Khalid, Syed Rafay Hasan:
2L-3W: 2-Level 3-Way Hardware-Software Co-verification for the Mapping of Convolutional Neural Network (CNN) onto FPGA Boards. SN Comput. Sci. 3(1): 60 (2022) - [j13]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1167-1180 (2022) - [c37]Tolulope A. Odetola, Faiq Khalid, Syed Rafay Hasan:
LaBaNI: Layer-based Noise Injection Attack on Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2022: 143-146 - 2021
- [j12]Tolulope A. Odetola, Faiq Khalid, Hawzhin Mohammed, Travis Sandefur, Syed Rafay Hasan:
FeSHI: Feature Map-Based Stealthy Hardware Intrinsic Attack. IEEE Access 9: 115370-115387 (2021) - [c36]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c35]Hawzhin Mohammed, Faiq Khalid, Paul Sawyer, Gabriella Cataloni, Syed Rafay Hasan:
InTrust-IoT: Intelligent Ecosystem based on Power Profiling of Trusted device(s) in IoT for Hardware Trojan Detection. HASP@MICRO 2021: 8:1-8:8 - [c34]Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan:
Security Analysis of Capsule Network Inference using Horizontal Collaboration. MWSCAS 2021: 1074-1077 - [i19]Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR abs/2105.03251 (2021) - [i18]Tolulope A. Odetola, Faiq Khalid, Travis Sandefur, Hawzhin Mohammed, Syed Rafay Hasan:
FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack. CoRR abs/2106.06895 (2021) - [i17]Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique:
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. CoRR abs/2106.08877 (2021) - [i16]Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan:
Security Analysis of Capsule Network Inference using Horizontal Collaboration. CoRR abs/2109.11041 (2021) - 2020
- [j11]Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman:
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. IEEE Des. Test 37(2): 58-65 (2020) - [j10]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Muhammad Shafique:
SIMCom: Statistical sniffing of inter-module communications for runtime hardware trojan detection. Microprocess. Microsystems 77: 103122 (2020) - [j9]Syed Ali Asadullah Bukhari, Faiq Khalid, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1725-1738 (2020) - [j8]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3748-3761 (2020) - [c33]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE 2020: 666-669 - [c32]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN 2020: 1-8 - [c31]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN 2020: 1-8 - [i15]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. CoRR abs/2011.11632 (2020) - [i14]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR abs/2012.05948 (2020)
2010 – 2019
- 2019
- [j7]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7: 13260-13283 (2019) - [j6]Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh:
Using gate-level side channel parameters for formally analyzing vulnerabilities in integrated circuits. Sci. Comput. Program. 171: 42-66 (2019) - [c30]Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC 2019: 6 - [c29]Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg:
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC 2019: 175 - [c28]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE 2019: 902-907 - [c27]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. DATE 2019: 914-919 - [c26]Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS 2019: 182-187 - [c25]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS 2019: 188-193 - [c24]Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique:
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI 2019: 553-559 - [c23]Muluken Hailesellasie, Jacob Nelson, Faiq Khalid, Syed Rafay Hasan:
VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity. MWSCAS 2019: 650-653 - [i13]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad, Muhammad Shafique:
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. CoRR abs/1901.07299 (2019) - [i12]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR abs/1901.09878 (2019) - [i11]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR abs/1901.10258 (2019) - [i10]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR abs/1902.01147 (2019) - [i9]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR abs/1912.01978 (2019) - 2018
- [j5]Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh, Muhammad Shafique:
McSeVIC: A Model Checking Based Framework for Security Vulnerability Analysis of Integrated Circuits. IEEE Access 6: 32240-32257 (2018) - [j4]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad:
Runtime hardware Trojan monitors through modeling burst mode communication using formal verification. Integr. 61: 62-76 (2018) - [c22]Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman:
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE 2018: 827-832 - [c21]Muhammad Shafique, Faiq Khalid, Semeen Rehman:
Intelligent Security Measures for Smart Cyber Physical Systems. DSD 2018: 280-287 - [c20]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT 2018: 327-332 - [c19]Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique:
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS 2018: 115-118 - [c18]Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique:
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS 2018: 257-260 - [c17]Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique:
FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. ISCAS 2018: 1-5 - [c16]Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique:
Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. ISCAS 2018: 1-5 - [c15]Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI 2018: 581-586 - [c14]Hawzhin Mohammed, Jimmy Howell, Syed Rafay Hasan, Nan Guo, Faiq Khalid, Omar S. Elkeelany:
Hardware Trojan Based Security Issues in Home Area Network: A Testbed Setup. MWSCAS 2018: 972-975 - [c13]Shahid Khan, Faiq Khalid, Osman Hasan, João M. P. Cardoso:
Formal verification of a domain specific language for run-time adaptation. SysCon 2018: 1-8 - [i8]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. CoRR abs/1810.06870 (2018) - [i7]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR abs/1811.01031 (2018) - [i6]Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR abs/1811.01437 (2018) - [i5]Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR abs/1811.01443 (2018) - [i4]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR abs/1811.01444 (2018) - [i3]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR abs/1811.01463 (2018) - [i2]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. CoRR abs/1812.02770 (2018) - [i1]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. CoRR abs/1812.05446 (2018) - 2017
- [j3]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
FAMe-TM: Formal analysis methodology for task migration algorithms in Many-Core systems. Sci. Comput. Program. 133: 154-174 (2017) - [c12]Faiq Khalid Lodhi, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad:
Power profiling of microcontroller's instruction set for runtime hardware Trojans detection without golden circuit models. DATE 2017: 294-297 - [c11]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
CAnDy-TM: Comparative analysis of dynamic thermal management in many-cores using model checking. DATE 2017: 1289-1292 - [c10]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad:
Behavior profiling of power distribution networks for runtime hardware trojan detection. MWSCAS 2017: 1316-1319 - 2016
- [j2]Faiq Khalid Lodhi, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad:
Analyzing Vulnerability of Asynchronous Pipeline to Soft Errors: Leveraging Formal Verification. J. Electron. Test. 32(5): 569-586 (2016) - [c9]Imran Hafeez Abbasi, Faiq Khalid Lodhi, Awais Mehmood Kamboh, Osman Hasan:
Formal Verification of Gate-Level Multiple Side Channel Parameters to Detect Hardware Trojans. FTSCS 2016: 75-92 - [c8]Faiq Khalid Lodhi, Imran Hafeez Abbasi, Faiq Khalid, Osman Hasan, Falah R. Awwad, Syed Rafay Hasan:
A self-learning framework to detect the intruded integrated circuits. ISCAS 2016: 1702-1705 - [c7]Faiq Khalid Lodhi, Imran Hafeez Abbasi, Faiq Khalid, Osman Hasan, Falah R. Awwad, Syed Rafay Hasan:
A self-learning framework to detect the intruded integrated circuits. ISCAS 2016: 1702-1705 - [c6]Waqas Gul, Syed Rafay Hasan, Osman Hasan, Faiq Khalid Lodhi, Falah R. Awwad:
Synchronously triggered GALS design templates leveraging QDI asynchronous interfaces. ISCAS 2016: 2615-2618 - 2015
- [c5]Faiq Khalid Lodhi, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad:
Formal analysis of macro synchronous micro asychronous pipeline for hardware Trojan detection. NORCAS 2015: 1-4 - 2014
- [j1]Faiq Khalid Lodhi, Syed Rafay Hasan, Naeha Sharif, Nadra Ramzan, Osman Hasan:
Timing variation aware dynamic digital phase detector for low-latency clock domain crossing. IET Circuits Devices Syst. 8(1): 58-64 (2014) - [c4]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal Verification of Distributed Task Migration for Thermal Management in On-Chip Multi-core Systems Using nuXmv. FTSCS 2014: 32-46 - [c3]Faiq Khalid Lodhi, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad:
Low Power Soft Error Tolerant Macro Synchronous Micro Asynchronous (MSMA) Pipeline. ISVLSI 2014: 601-606 - [c2]Faiq Khalid Lodhi, Syed Rafay Hasan, Osman Hasan, Falah Awwad:
Hardware Trojan detection in soft error tolerant macro synchronous micro asynchronous (MSMA) pipeline. MWSCAS 2014: 659-662 - 2012
- [c1]Faiq Khalid Lodhi, Osman Hasan, Syed Rafay Hasan, Falah Awwad:
Modified null convention logic pipeline to detect soft errors in both null and data phases. MWSCAS 2012: 402-405
Coauthor Index
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