Manaar Alam

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Debdeep MukhopadhyayProfessor, Dept of Computer Science and Engineering, IIT Kharagpur, IndiaVerified email at cse.iitkgp.ac.in
Anupam ChattopadhyayAssociate Professor, SCSE, SPMS, NTU, SingaporeVerified email at ntu.edu.sg
Sarani BhattacharyaResearcher at FUSE-CSA, imec BelgiumVerified email at imec.be
Anirban ChakrabortyPhD Scholar, Indian Institute of Technology KharagpurVerified email at iitkgp.ac.in
Vishal DeyComputer Science and Engineering, The Ohio State University, ColumbusVerified email at osu.edu
Sayan SinhaCS PhD student at Georgia TechVerified email at cc.gatech.edu
Sayandeep SahaPostdoctoral Researcher, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Swastika DuttaStanford UniversityVerified email at stanford.edu
Debapriya Basu RoyAssistant Professor, IIT KanpurVerified email at cse.iitk.ac.in
Rajat Subhra ChakrabortyAssociate Professor, Dept. of Computer Science and Engineering, IIT Kharagpur, India - 721302Verified email at cse.iitkgp.ac.in
Sourangshu BhattacharyaAssistant Professor, at Dept. Computer Science and Engineering, Indian Institute of TechnologyVerified email at cse.iitkgp.ac.in
Kadiyala sai praveenKatz School of Health and ScienceVerified email at yu.edu
Vidya GovindanSenior Lead Engineer, Qualcomm IndiaVerified email at iitkgp.ac.in
Arnab BagPh.D. Research Scholar of Indian Institute of Technology KharagpurVerified email at iitkgp.ac.in
Sandip KunduUniversity of MassachusettsVerified email at ecs.umass.edu
Sikhar PatranabisIBM Research IndiaVerified email at ibm.com
Jakub BreierSenior Scientist (Embedded Security), Silicon Austria Labs, Graz, AustriaVerified email at silicon-austria.com
Shivam BhasinNTU SingaporeVerified email at ntu.edu.sg
Siew-Kei LamNanyang Technological UniversityVerified email at ntu.edu.sg
Kuheli PratiharIndian Institute of Technology, KharagpurVerified email at iitkgp.ac.in

Manaar Alam

Post-Doctoral Associate, New York University Abu Dhabi

Verified email at nyu.edu - Homepage

Deep Learning Security System Security Hardware Security


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Adversarial attacks and defences: A survey A Chakraborty, M Alam, V Dey, A Chattopadhyay, D Mukhopadhyay arXiv preprint arXiv:1810.00069, 2018	521	2018
A survey on adversarial attacks and defences A Chakraborty, M Alam, V Dey, A Chattopadhyay, D Mukhopadhyay CAAI Transactions on Intelligence Technology 6 (1), 25-45, 2021	85*	2021
Performance counters to rescue: A machine learning based safeguard against micro-architectural side-channel-attacks M Alam, S Bhattacharya, D Mukhopadhyay, S Bhattacharya Cryptology ePrint Archive, 2017	71	2017
Rapper: Ransomware prevention via performance counters M Alam, S Sinha, S Bhattacharya, S Dutta, D Mukhopadhyay, ... arXiv preprint arXiv:2004.01712, 2020	50	2020
RATAFIA: ransomware analysis using time and frequency informed autoencoders M Alam, S Bhattacharya, S Dutta, S Sinha, D Mukhopadhyay, ... 2019 IEEE International Symposium on Hardware Oriented Security and Trust …, 2019	20	2019
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering? M Alam, D Mukhopadhyay Proceedings of the 56th Annual Design Automation Conference, 226:1--226:2, 2019	20	2019
Deep learning assisted cross-family profiled side-channel attacks using transfer learning D Thapar, M Alam, D Mukhopadhyay 2021 22nd International Symposium on Quality Electronic Design (ISQED), 178-185, 2021	13*	2021
Deep learning based diagnostics for rowhammer protection of DRAM chips A Chakraborty, M Alam, D Mukhopadhyay 2019 IEEE 28th Asian Test Symposium (ATS), 86-865, 2019	13	2019
SmashClean: A hardware level mitigation to stack smashing attacks in OpenRISC M Alam, DB Roy, S Bhattacharya, V Govindan, RS Chakraborty, ... 2016 ACM/IEEE International Conference on Formal Methods and Models for …, 2016	11	2016
Deep-Lock: Secure Authorization for Deep Neural Networks M Alam, S Saha, D Mukhopadhyay, S Kundu arXiv preprint arXiv:2008.05966, 2020	10	2020
Enhancing fault tolerance of neural networks for security-critical applications M Alam, A Bag, DB Roy, D Jap, J Breier, S Bhasin, D Mukhopadhyay arXiv preprint arXiv:1902.04560, 2019	6	2019
LAMBDA: Lightweight assessment of malware for emBeddeD architectures SP Kadiyala, M Alam, Y Shrivastava, S Patranabis, MFB Abbas, ... ACM Transactions on Embedded Computing Systems (TECS) 19 (4), 1-31, 2020	5	2020
Customized instructions for protection against memory integrity attacks DB Roy, M Alam, S Bhattacharya, V Govindan, F Regazzoni, ... IEEE Embedded Systems Letters 10 (3), 91-94, 2018	5	2018
Victims Can Be Saviors: A Machine Learning--based Detection for Micro-Architectural Side-Channel Attacks M Alam, S Bhattacharya, D Mukhopadhyay ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (2), 1-31, 2021	4	2021
A 0.16 pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance N Shah, M Alam, DP Sahoo, D Mukhopadhyay, A Basu Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019	4	2019
Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms. M Alam, D Mukhopadhyay, SP Kadiyala, SK Lam, T Srikanthan PROOFS@ CHES, 1-15, 2018	4	2018
RASSLE: return address stack based side-channel leakage A Chakraborty, S Bhattacharya, M Alam, S Patranabis, D Mukhopadhyay IACR Transactions on Cryptographic Hardware and Embedded Systems 2, 275-303, 2021	3	2021
A novel parallel search technique for optimization M Alam, S Chatterjee, H Banka 2016 3rd International Conference on Recent Advances in Information …, 2016	3	2016
Leakage assessment in fault attacks: a deep learning perspective S Saha, M Alam, A Bag, D Mukhopadhyay, P Dasgupta Cryptology ePrint Archive, 2020	2	2020
Tackling the time-defence: an instruction count based micro-architectural side-channel attack on block ciphers M Alam, S Bhattacharya, D Mukhopadhyay International Conference on Security, Privacy, and Applied Cryptography …, 2017	2	2017

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