Conference Proceedings
- [c22]
- [c21]
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[c20]
Lakshmi Likhitha Mankali, Jitendra Bhandari, Manaar Alam, Ramesh Karri, Michail Maniatakos, Ozgur Sinanoglu, and Johann Knechtel, "RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation." In IEEE Design, Automation and Test in Europe (DATE), 2025.
[Paper] -
[c19]
Shubhi Shukla, Subhadeep Dalui, Manaar Alam, Shubhajit Datta, Arijit Mondal, Debdeep Mukhopadhyay, and Partha Pratim Chakrabarti, "Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
[Paper] [GitHub]
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[c18]
Shubhajit Datta, Manaar Alam, Arijit Mondal, Debdeep Mukhopadhyay, and Partha Pratim Chakrabarti, "Ignorance is not Bliss: A Novel Ensemble Method to Counter Adversarial Attacks on Deep Learning Models." In International Conference on Data Science and Management of Data (CODS-COMAD), 2024.
[Paper] - [c17]
- [c16]
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[c15]
Soumyadyuti Ghosh, Manaar Alam, Soumyajit Dey, and Debdeep Mukhopadhyay, "'Hello? Is there anybody in there?' Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure." In International Conference on Applied Cryptography and Network Security (ACNS), 2024.
[Paper]
- [c14]
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[c13]
Suvadeep Hajra, Sayandeep Saha, Manaar Alam, and Debdeep Mukhopadhyay, "TransNet: Shift Invariant Transformer Network for Side Channel Analysis." In International Conference on Cryptology (AfricaCrypt), 2022.
[Paper]
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[c12]
Anirban Chakraborty, Manaar Alam, and Debdeep Mukhopadhyay, "A Good Anvil Fears No Hammer: Automated Rowhammer Detection using Unsupervised Deep Learning." In Workshop on Artificial Intelligence in Hardware Security (AIHWS@ACNS), 2021.
[Paper] -
[c11]
Dhruv Thapar, Manaar Alam, and Debdeep Mukhopadhyay, "Deep Learning assisted Cross-Family Profiled Side-Channel Attacks using Transfer Learning." In International Symposium on Quality Electronic Design (ISQED), 2021.
[Paper]
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[c10]
Sai Praveen Kadiyala, Mohit Garg, Manaar Alam, Hau Ngo, Debdeep Mukhopadhyay and Thambipillai Srikanthan, "HARDY: Hardware Based Analysis for malwaRe Detection in Embedded sYstems." In IEEE International System-on-Chip Conference (SOCC), 2020.
[Paper]
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[c9]
Anirban Chakraborty, Manaar Alam, and Debdeep Mukhopadhyay, "Deep Learning based Diagnostics for Rowhammer Protection of DRAM Chips." In IEEE Asian Test Symposium (ATS), 2019.
[Paper] -
[c8]
Manaar Alam, Astikey Singh, Sarani Bhattacharya, Kuheli Pratihar, and Debdeep Mukhopadhyay, "In-situ Extraction of Randomness from Computer Architecture through Hardware Performance Counters." In Smart Card Research and Advanced Application Conference (CARDIS), 2019. Best Student Paper Award
[Paper] -
[c7]
Manaar Alam and Debdeep Mukhopadhyay, "How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?" In ACM/IEEE Design Automation Conference (DAC), 2019.
[Paper] -
[c6]
Manaar Alam, Sarani Bhattacharya, Swastika Dutta, Sayan Sinha, Debdeep Mukhopadhyay, and Anupam Chattopadhyay, "RATAFIA: Ransomware Analysis using Time And Frequency Informed Autoencoders." In IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2019.
[Paper] -
[c5]
Nimesh Kirit Shah, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, and Arindam Basu, "A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Attack Resistance." In ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
[Paper]
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[c4]
Manaar Alam, Debdeep Mukhopadhyay, Sai Praveen Kadiyala, Siew-Kei Lam, and Thambipillai Srikanthan, "Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms." In International Workshop on Security Proofs for Embedded Systems (PROOFS@CHES), 2018.
[Paper]
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[c3]
Manaar Alam, Sarani Bhattacharya, and Debdeep Mukhopadhyay, "Tackling the Time-Defence: An Instruction Count Based Micro-architectural Side-Channel Attack on Block Ciphers." In International Conference on Security, Privacy, and Applied Cryptography Engineering (SPACE), 2017.
[Paper]
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[c2]
Manaar Alam, Debapriya Basu Roy, Sarani Bhattacharya, Vidya Govindan, Rajat Subhra Chakraborty, and Debdeep Mukhopadhyay, "SmashClean: A hardware level mitigation to stack smashing attacks in OpenRISC." In ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE), 2016.
[Paper] -
[c1]
Manaar Alam, Soumyajit Chatterjee, and Haider Banka, "A novel parallel search technique for optimization." In IEEE International Conference on Recent Advances in Information Technology (RAIT), 2016.
[Paper]
Journal Publications
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[j18]
Shubhajit Datta, Manaar Alam, Arijit Mondal, Debdeep Mukhopadhyay, and Partha Pratim Chakrabarti, "Decision Guided Robust DL Classification of Adversarial Images Combining Weaker Defenses." In IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), Volume 14, Issue 4, December 2024, Pages 758-772.
[Paper] [GitHub] -
[j17]
Shubhi Shukla, Manaar Alam, Pabitra Mitra, and Debdeep Mukhopadhyay, "Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels." In IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), Volume 14, Issue 4, December 2024, Pages 634-646.
[Paper] - [j16]
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[j15]
Yue Wang, Wenqing Li, Manaar Alam, Michail Maniatakos, and Saif Eddin Jabari, "Backdozer: A Backdoor Detection Methodology for DRL-based Traffic Controllers." In ACM Journal on Autonomous Transportation Systems (ACM JATS), Volume 1, Issue 4, August 2024, Pages 1-22.
[Paper]
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[j14]
Suvadeep Hajra, Manaar Alam, Sayandeep Saha, Stjepan Picek, and Debdeep Mukhopadhyay, "On the Instability of Softmax Attention-based Deep Learning Models in Side-channel Analysis." In IEEE Transactions on Information Forensics and Security (IEEE TIFS), Volume 19, October 2023, Pages 514-528.
[Paper] - [j13]
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[j12]
Kuheli Pratihar, Urbi Chatterjee, Manaar Alam, Debdeep Mukhopadhyay, and Rajat Subhra Chakraborty, "Birds of the Same Feather Flock Together: A Dual Mode Circuit for Strong PUF-TRNG Functionalities." In IEEE Transactions on Computers (IEEE TC), Volume 72, Issue 6, June 2023, Pages 1636-1651.
[Paper] -
[j11]
Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, and Pabitra Mitra, "Whispering MLaaS: Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks." In IACR Transactions on Cryptographic Hardware and Embedded Systems (IACR TCHES), Volume 2023, Issue 2, March 2023, Pages 587-613.
[Paper] [GitHub] [Artifact Evaluated]
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[j10]
Soumik Sinha, Sayandeep Saha, Manaar Alam, Varun Agarwal, Ayantika Chatterjee, Anoop Mishra, Deepak Khazanchi, and Debdeep Mukhopadhyay, "Exploring Bitslicing Architectures for Enabling FHE-assisted Machine Learning." In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), Volume 41, Issue 11, November 2022, Pages 4004-4015.
[Paper] -
[j9]
Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, and Sandip Kundu, "NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models." In ACM Journal on Emerging Technologies in Computing Systems (ACM JETC), Volume 18, Issue 3, July 2022, Pages 51:1-51:19.
[Paper]
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[j8]
Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, and Debdeep Mukhopadhyay, "A Survey on Adversarial Attacks and Defences." In IET CAAI Transactions on Intelligence Technology (IET TRIT), Volume 6, Issue 1, March 2021, Pages 25-45. [Honorable Mention for Most Downloaded Paper of the Year]
[Paper] -
[j7]
Anirban Chakraborty, Sarani Bhattacharya, Manaar Alam, Sikhar Patranabis, and Debdeep Mukhopadhyay, "RASSLE: Return Address Stack based Side-channel LEakage." In IACR Transactions on Cryptographic Hardware and Embedded Systems (IACR TCHES), Volume 2021, Issue 2, February 2021, Pages 275-303.
[Paper] -
[j6]
Manaar Alam, Sarani Bhattacharya, and Debdeep Mukhopadhyay, "Victims can be Saviors: A Machine Learning based detection for Micro-Architectural Side-Channel Attacks." In ACM Journal on Emerging Technologies in Computing Systems (ACM JETC), Volume 17, Issue 2, January 2021, Pages 14:1-14:31.
[Paper]
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[j5]
Manaar Alam, Debdeep Mukhopadhyay, Sai Praveen Kadiyala, Siew-Kei Lam, and Thambipillai Srikanthan, "Improving Accuracy of HPC-based Malware Classification for Embedded Platforms using Gradient Descent Optimization." In Springer Journal of Cryptographic Engineering (Springer JCEN), Volume 10, Issue 4, November 2020, Pages 289-303.
[Paper] -
[j4]
Manaar Alam, Arnab Bag, Debapriya Basu Roy, Dirmanto Jap, Jakub Breier, Shivam Bhasin, and Debdeep Mukhopadhyay, "Neural Network-based Inherently Fault-tolerant Hardware Cryptographic Primitives without Explicit Redundancy Checks." In ACM Journal on Emerging Technologies in Computing Systems (ACM JETC), Volume 17, Issue 1, September 2020, Pages 3:1-3:30.
[Paper] -
[j3]
Sai Praveen Kadiyala, Manaar Alam, Yash Shrivastava, Sikhar Patranabis, Muhamed Fauzi Bin Abbas, Arnab Biswas, Debdeep Mukhopadhyay, and Thambipillai Srikanthan, "LAMBDA: Lightweight Assessment of Malware for emBeddeD Architectures." In ACM Transactions on Embedded Computing Systems (ACM TECS), Volume 19, Issue 4, June 2020, Pages 23:1-23:31.
[Paper]
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[j2]
Manaar Alam, Sarani Bhattacharya, Sayan Sinha, Chester Rebeiro, and Debdeep Mukhopadhyay, "IPA: An Instruction Profiling based Micro-Architectural Side-Channel Attack on Block Ciphers." In Springer Journal of Hardware and Systems Security (Springer HASS), Volume 3, Issue 1, March 2019, Pages 26-44.
[Paper]
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[j1]
Debapriya Basu Roy, Manaar Alam, Sarani Bhattacharya, Vidya Govindan, Francesco Regazzoni, Rajat Subhra Chakraborty, and Debdeep Mukhopadhyay, "Customized Instructions for Protection Against Memory Integrity Attacks." In IEEE Embedded Systems Letters (IEEE ESL), Volume 10, Issue 3, September 2018, Pages 91-94.
[Paper]