Faiq Khalid
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2016–2021
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | DATE | GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. | Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | MICRO | InTrust-IoT: Intelligent Ecosystem based on Power Profiling of Trusted device(s) in IoT for Hardware Trojan Detection. | Hawzhin Mohammed, Faiq Khalid, Paul Sawyer, Gabriella Cataloni, Syed Rafay Hasan |
| 2020 | DATE | FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. | Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique |
| 2020 | IJCNN | FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. | Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2020 | IJCNN | Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. | Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2019 | DAC | CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. | Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique |
| 2019 | DAC | Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. | Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg |
| 2019 | DATE | TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. | Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique |
| 2019 | DATE | FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique |
| 2019 | IOLTS | QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. | Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2019 | IOLTS | TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2018 | DATE | An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. | Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman |
| 2018 | DSD | Intelligent Security Measures for Smart Cyber Physical Systems. | Muhammad Shafique, Faiq Khalid, Semeen Rehman |
| 2018 | FIT | Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique |
| 2018 | IOLTS | Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. | Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique |
| 2018 | IOLTS | Hardware and Software Techniques for Heterogeneous Fault-Tolerance. | Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique |
| 2018 | ISCAS | FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. | Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique |
| 2018 | ISCAS | Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. | Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique |
| 2016 | ISCAS | A self-learning framework to detect the intruded integrated circuits. | Faiq Khalid Lodhi, Imran Hafeez Abbasi, Faiq Khalid, Osman Hasan, Falah R. Awwad, Syed Rafay Hasan |