SmashClean: A hardware level mitigation to stack smashing attacks in OpenRISC. - Manaar Alam; Debapriya Basu Roy; Sarani Bhattacharya; Vidya Govindan; Rajat Subhra Chakraborty; Debdeep Mukhopadhyay (MEMOCODE, 2016)

A novel parallel search technique for optimization. - Manaar Alam; Soumyajit Chatterjee; Haider Banka (RAIT, 2016)

Tackling the Time-Defence: An Instruction Count Based Micro-architectural Side-Channel Attack on Block Ciphers. - Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay (SPACE, 2017)

Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks. - Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Sourangshu Bhattacharya (IACR Cryptol. ePrint Arch., 2017)

Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms. - Manaar Alam; Debdeep Mukhopadhyay; Sai Praveen Kadiyala; Siew Kei Lam; Thambipillai Srikanthan (PROOFS, 2018)

RAPPER: Ransomware Prevention via Performance Counters. - Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Anupam Chattopadhyay (CoRR, 2018)

Adversarial Attacks and Defences: A Survey. - Anirban Chakraborty 003; Manaar Alam; Vishal Dey; Anupam Chattopadhyay; Debdeep Mukhopadhyay (CoRR, 2018)

A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance. - Nimesh Shah; Manaar Alam; Durga Prasad Sahoo; Debdeep Mukhopadhyay; Arindam Basu (CoRR, 2018)

Customized Instructions for Protection Against Memory Integrity Attacks. - Debapriya Basu Roy; Manaar Alam; Sarani Bhattacharya; Vidya Govindan; Francesco Regazzoni 001; Rajat Subhra Chakraborty; Debdeep Mukhopadhyay (IEEE Embed. Syst. Lett., 2018)

A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance. - Nimesh Shah; Manaar Alam; Durga Prasad Sahoo; Debdeep Mukhopadhyay; Arindam Basu (ASP-DAC, 2019)

Deep Learning Based Diagnostics for Rowhammer Protection of DRAM Chips. - Anirban Chakraborty 003; Manaar Alam; Debdeep Mukhopadhyay (ATS, 2019)

In-situ Extraction of Randomness from Computer Architecture Through Hardware Performance Counters. - Manaar Alam; Astikey Singh; Sarani Bhattacharya; Kuheli Pratihar; Debdeep Mukhopadhyay (CARDIS, 2019)

How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering? - Manaar Alam; Debdeep Mukhopadhyay (DAC, 2019)

RATAFIA: Ransomware Analysis using Time And Frequency Informed Autoencoders. - Manaar Alam; Sarani Bhattacharya; Swastika Dutta; Sayan Sinha; Debdeep Mukhopadhyay; Anupam Chattopadhyay (HOST, 2019)

Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications. - Manaar Alam; Arnab Bag; Debapriya Basu Roy; Dirmanto Jap; Jakub Breier; Shivam Bhasin; Debdeep Mukhopadhyay (CoRR, 2019)

IPA: an Instruction Profiling-Based Micro-architectural Side-Channel Attack on Block Ciphers. - Manaar Alam; Sarani Bhattacharya; Sayan Sinha; Chester Rebeiro; Debdeep Mukhopadhyay (J. Hardw. Syst. Secur., 2019)

HARDY: Hardware based Analysis for malwaRe Detection in embedded sYstems. - Sai Praveen Kadiyala; Mohit Garg; Manaar Alam; Hau T. Ngo; Debdeep Mukhopadhyay; Thambipillai Srikanthan (SoCC, 2020)

RAPPER: Ransomware Prevention via Performance Counters. - Manaar Alam; Sayan Sinha; Sarani Bhattacharya; Swastika Dutta; Debdeep Mukhopadhyay; Anupam Chattopadhyay (CoRR, 2020)

Deep-Lock: Secure Authorization for Deep Neural Networks. - Manaar Alam; Sayandeep Saha; Debdeep Mukhopadhyay; Sandip Kundu (CoRR, 2020)

Leakage Assessment in Fault Attacks: A Deep Learning Perspective. - Sayandeep Saha; Manaar Alam; Arnab Bag; Debdeep Mukhopadhyay; Pallab Dasgupta (IACR Cryptol. ePrint Arch., 2020)

TranSCA: Cross-Family Profiled Side-Channel Attacks using Transfer Learning on Deep Neural Networks. - Dhruv Thapar; Manaar Alam; Debdeep Mukhopadhyay (IACR Cryptol. ePrint Arch., 2020)

Improving accuracy of HPC-based malware classification for embedded platforms using gradient descent optimization. - Manaar Alam; Debdeep Mukhopadhyay; Sai Praveen Kadiyala; Siew-Kei Lam; Thambipillai Srikanthan (J. Cryptogr. Eng., 2020)

Neural Network-based Inherently Fault-tolerant Hardware Cryptographic Primitives without Explicit Redundancy Checks. - Manaar Alam; Arnab Bag; Debapriya Basu Roy; Dirmanto Jap; Jakub Breier; Shivam Bhasin; Debdeep Mukhopadhyay (ACM J. Emerg. Technol. Comput. Syst., 2020)

LAMBDA: Lightweight Assessment of Malware for emBeddeD Architectures. - Sai Praveen Kadiyala; Manaar Alam; Yash Shrivastava; Sikhar Patranabis; Muhamed Fauzi Bin Abbas; Arnab Kumar Biswas; Debdeep Mukhopadhyay; Thambipillai Srikanthan (ACM Trans. Embed. Comput. Syst., 2020)

A Good Anvil Fears No Hammer: Automated Rowhammer Detection Using Unsupervised Deep Learning. - Anirban Chakraborty 003; Manaar Alam; Debdeep Mukhopadhyay (ACNS Workshops, 2021)

Deep Learning assisted Cross-Family Profiled Side-Channel Attacks using Transfer Learning. - Dhruv Thapar; Manaar Alam; Debdeep Mukhopadhyay (ISQED, 2021)

A survey on adversarial attacks and defences. - Anirban Chakraborty 003; Manaar Alam; Vishal Dey; Anupam Chattopadhyay; Debdeep Mukhopadhyay (CAAI Trans. Intell. Technol., 2021)

PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function. - Manaar Alam; Shubhajit Datta; Debdeep Mukhopadhyay; Arijit Mondal; Partha Pratim Chakrabarti (CoRR, 2021)

TransNet: Shift Invariant Transformer Network for Power Attack. - Suvadeep Hajra; Sayandeep Saha; Manaar Alam; Debdeep Mukhopadhyay (IACR Cryptol. ePrint Arch., 2021)

A Tale of Twin Primitives: Single-chip Solution for PUFs and TRNGs. - Kuheli Pratihar; Urbi Chatterjee; Manaar Alam; Debdeep Mukhopadhyay; Rajat Subhra Chakraborty (IACR Cryptol. ePrint Arch., 2021)

Victims Can Be Saviors: A Machine Learning-based Detection for Micro-Architectural Side-Channel Attacks. - Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay (ACM J. Emerg. Technol. Comput. Syst., 2021)

RASSLE: Return Address Stack based Side-channel LEakage. - Anirban Chakraborty 003; Sarani Bhattacharya; Manaar Alam; Sikhar Patranabis; Debdeep Mukhopadhyay (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021)

TransNet: Shift Invariant Transformer Network for Side Channel Analysis. - Suvadeep Hajra; Sayandeep Saha; Manaar Alam; Debdeep Mukhopadhyay (AFRICACRYPT, 2022)

PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations. - Manaar Alam; Esha Sarkar; Michail Maniatakos (CoRR, 2022)

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. - Shubhi Shukla 001; Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Pabitra Mitra (CoRR, 2022)

Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries. - Manaar Alam; Shubhajit Datta; Debdeep Mukhopadhyay; Arijit Mondal; Partha Pratim Chakrabarti (CoRR, 2022)

NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models. - Manaar Alam; Sayandeep Saha; Debdeep Mukhopadhyay; Sandip Kundu (ACM J. Emerg. Technol. Comput. Syst., 2022)

Exploring Bitslicing Architectures for Enabling FHE-Assisted Machine Learning. - Soumik Sinha; Sayandeep Saha; Manaar Alam; Varun Agarwal; Ayantika Chatterjee; Anoop Mishra; Deepak Khazanchi; Debdeep Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

PerDoor: Persistent Backdoors in Federated Learning using Adversarial Perturbations. - Manaar Alam; Esha Sarkar; Michail Maniatakos (COINS, 2023)

HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis. - Christoforos Vasilatos; Manaar Alam; Talal Rahwan; Yasir Zaki; Michail Maniatakos (CoRR, 2023)

"Whispering MLaaS" Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks. - Shubhi Shukla 001; Manaar Alam; Sarani Bhattacharya; Pabitra Mitra; Debdeep Mukhopadhyay (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023)

Birds of the Same Feather Flock Together: A Dual-Mode Circuit Candidate for Strong PUF-TRNG Functionalities. - Kuheli Pratihar; Urbi Chatterjee; Manaar Alam; Rajat Subhra Chakraborty; Debdeep Mukhopadhyay (IEEE Trans. Computers, 2023)

Learn from Your Faults: Leakage Assessment in Fault Attacks Using Deep Learning. - Sayandeep Saha; Manaar Alam; Arnab Bag; Debdeep Mukhopadhyay; Pallab Dasgupta (J. Cryptol., 2023)

"Hello? Is There Anybody in There?" Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure. - Soumyadyuti Ghosh; Manaar Alam; Soumyajit Dey; Debdeep Mukhopadhyay (ACNS (3), 2024)

Ignorance is not Bliss: A Novel Ensemble Method to Counter Adversarial Attacks on Deep Learning Models. - Shubhajit Datta; Manaar Alam; Arijit Mondal; Debdeep Mukhopadhyay; Partha P. Chakrabarti (COMAD/CODS (December), 2024)

AdvHunter: Detecting Adversarial Perturbations in Black-Box Neural Networks through Hardware Performance Counters. - Manaar Alam; Michail Maniatakos (DAC, 2024)

Detecting Backdoor Attacks in Black-Box Neural Networks through Hardware Performance Counters. - Manaar Alam; Yue Wang 055; Michail Maniatakos (DATE, 2024)

LLMPot: Automated LLM-based Industrial Protocol and Physical Process Emulation for ICS Honeypots. - Christoforos Vasilatos; Dunia J. Mahboobeh; Hithem Lamri; Manaar Alam; Michail Maniatakos (CoRR, 2024)

On the Instability of Softmax Attention-Based Deep Learning Models in Side-Channel Analysis. - Suvadeep Hajra; Manaar Alam; Sayandeep Saha; Stjepan Picek; Debdeep Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2024)

Decision Guided Robust DL Classification of Adversarial Images Combining Weaker Defenses. - Shubhajit Datta; Manaar Alam; Arijit Mondal; Debdeep Mukhopadhyay; Partha Pratim Chakrabarti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Stealing the Invisible: Unveiling Pre-Trained CNN Models Through Adversarial Examples and Timing Side-Channels. - Shubhi Shukla 001; Manaar Alam; Pabitra Mitra; Debdeep Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Get Rid of Your Trail: Remotely Erasing Backdoors in Federated Learning. - Manaar Alam; Hithem Lamri; Michail Maniatakos (IEEE Trans. Artif. Intell., 2024)

RTL-Breaker: Assessing the Security of LLMs Against Backdoor Attacks on HDL Code Generation. - Lakshmi Likhitha Mankali; Jitendra Bhandari; Manaar Alam; Ramesh Karri; Michail Maniatakos; Ozgur Sinanoglu; Johann Knechtel (DATE, 2025)

Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles. - Shubhi Shukla 001; Subhadeep Dalui; Manaar Alam; Shubhajit Datta; Arijit Mondal; Debdeep Mukhopadhyay; Partha Pratim Chakrabarti (WACV, 2025)

ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning. - Manaar Alam; Hithem Lamri; Michail Maniatakos (CoRR, 2025)

Veritas: Deterministic Verilog Code Synthesis from LLM-Generated Conjunctive Normal Form. - Prithwish Basu Roy; Akashdeep Saha; Manaar Alam; Johann Knechtel; Michail Maniatakos; Ozgur Sinanoglu; Ramesh Karri (CoRR, 2025)

DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems. - Hithem Lamri; Manaar Alam; Haiyan Jiang; Michail Maniatakos (CoRR, 2025)