Manaar Alam

According to our database, Manaar Alam authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels.

Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay

CoRR, 2024

"Hello? Is There Anybody in There?" Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure.

Soumyadyuti Ghosh, Manaar Alam, Soumyajit Dey, Debdeep Mukhopadhyay

Proceedings of the Applied Cryptography and Network Security, 2024

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., July, 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, June, 2023

"Whispering MLaaS" Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks.

Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Pabitra Mitra, Debdeep Mukhopadhyay

IACR Trans. Cryptogr. Hardw. Embed. Syst., 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

Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning.

Manaar Alam, Hithem Lamri, Michail Maniatakos

CoRR, 2023

PerDoor: Persistent Backdoors in Federated Learning using Adversarial Perturbations.

Manaar Alam, Esha Sarkar, Michail Maniatakos

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

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

<i>NN-Lock</i>: 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

Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries.

Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay, Arijit Mondal, Partha Pratim Chakrabarti

CoRR, 2022

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel.

Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra

CoRR, 2022

PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations.

Manaar Alam, Esha Sarkar, Michail Maniatakos

CoRR, 2022

TransNet: Shift Invariant Transformer Network for Side Channel Analysis.

Suvadeep Hajra, Sayandeep Saha, Manaar Alam, Debdeep Mukhopadhyay

Proceedings of the Progress in Cryptology, 2022

2021

RASSLE: Return Address Stack based Side-channel LEakage.

Anirban Chakraborty, Sarani Bhattacharya, Manaar Alam, Sikhar Patranabis, Debdeep Mukhopadhyay

IACR Trans. Cryptogr. Hardw. Embed. Syst., 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

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

TransNet: Shift Invariant Transformer Network for Power Attack.

Suvadeep Hajra, Sayandeep Saha, Manaar Alam, Debdeep Mukhopadhyay

IACR Cryptol. ePrint Arch., 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

A survey on adversarial attacks and defences.

Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay

CAAI Trans. Intell. Technol., 2021

Deep Learning assisted Cross-Family Profiled Side-Channel Attacks using Transfer Learning.

Dhruv Thapar, Manaar Alam, Debdeep Mukhopadhyay

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Good Anvil Fears No Hammer: Automated Rowhammer Detection Using Unsupervised Deep Learning.

Anirban Chakraborty, Manaar Alam, Debdeep Mukhopadhyay

Proceedings of the Applied Cryptography and Network Security Workshops, 2021

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

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

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

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

Leakage Assessment in Fault Attacks: A Deep Learning Perspective.

Sayandeep Saha, Manaar Alam, Arnab Bag, Debdeep Mukhopadhyay, Pallab Dasgupta

IACR Cryptol. ePrint Arch., 2020

Deep-Lock: Secure Authorization for Deep Neural Networks.

Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu

CoRR, 2020

RAPPER: Ransomware Prevention via Performance Counters.

Manaar Alam, Sayan Sinha, Sarani Bhattacharya, Swastika Dutta, Debdeep Mukhopadhyay, Anupam Chattopadhyay

CoRR, 2020

HARDY: Hardware based Analysis for malwaRe Detection in embedded sYstems.

Sai Praveen Kadiyala, Mohit Garg, Manaar Alam, Hau T. Ngo, Debdeep Mukhopadhyay, Thambipillai Srikanthan

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

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

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

RATAFIA: Ransomware Analysis using Time And Frequency Informed Autoencoders.

Manaar Alam, Sarani Bhattacharya, Swastika Dutta, Sayan Sinha, Debdeep Mukhopadhyay, Anupam Chattopadhyay

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2019

How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?

Manaar Alam, Debdeep Mukhopadhyay

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

In-situ Extraction of Randomness from Computer Architecture Through Hardware Performance Counters.

Manaar Alam, Astikey Singh, Sarani Bhattacharya, Kuheli Pratihar, Debdeep Mukhopadhyay

Proceedings of the Smart Card Research and Advanced Applications, 2019

Deep Learning Based Diagnostics for Rowhammer Protection of DRAM Chips.

Anirban Chakraborty, Manaar Alam, Debdeep Mukhopadhyay

Proceedings of the 28th IEEE Asian Test Symposium, 2019

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

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Customized Instructions for Protection Against Memory Integrity Attacks.

Debapriya Basu Roy, Manaar Alam, Sarani Bhattacharya, Vidya Govindan, Francesco Regazzoni, Rajat Subhra Chakraborty, Debdeep Mukhopadhyay

IEEE Embed. Syst. Lett., 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

Adversarial Attacks and Defences: A Survey.

Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay

CoRR, 2018

RAPPER: Ransomware Prevention via Performance Counters.

Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Anupam Chattopadhyay

CoRR, 2018

Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms.

Manaar Alam, Debdeep Mukhopadhyay, Sai Praveen Kadiyala, Siew Kei Lam, Thambipillai Srikanthan

Proceedings of the PROOFS 2018, 2018

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

Tackling the Time-Defence: An Instruction Count Based Micro-architectural Side-Channel Attack on Block Ciphers.

Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2017

2016

A novel parallel search technique for optimization.

Manaar Alam, Soumyajit Chatterjee, Haider Banka

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

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

Proceedings of the 2016 ACM/IEEE International Conference on Formal Methods and Models for System Design, 2016