Manaar Alam

1.3k total citations · 1 hit paper
29 papers, 338 citations indexed

About

Manaar Alam is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Manaar Alam has authored 29 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Signal Processing and 10 papers in Hardware and Architecture. Recurrent topics in Manaar Alam's work include Advanced Malware Detection Techniques (12 papers), Adversarial Robustness in Machine Learning (10 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (10 papers). Manaar Alam is often cited by papers focused on Advanced Malware Detection Techniques (12 papers), Adversarial Robustness in Machine Learning (10 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (10 papers). Manaar Alam collaborates with scholars based in India, Singapore and United Arab Emirates. Manaar Alam's co-authors include Debdeep Mukhopadhyay, Anupam Chattopadhyay, Anirban Chakraborty, Vishal Dey, Sarani Bhattacharya, Sayandeep Saha, Rajat Subhra Chakraborty, Michail Maniatakos, Sandip Kundu and Stjepan Picek and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Manaar Alam

27 papers receiving 324 citations

Hit Papers

A survey on adversarial attacks and defences 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on adversarial attacks and defences
    2021 201 citations Anirban Chakraborty, Manaar Alam et al. CAAI Transactions on Intelligence Technology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manaar Alam India 8 244 121 66 56 46 29 338
Kaichen Yang United States 8 304 1.2× 120 1.0× 91 1.4× 67 1.2× 59 1.3× 16 365
Shaofeng Li China 8 306 1.3× 110 0.9× 64 1.0× 21 0.4× 106 2.3× 24 388
Wenhao Wang China 9 285 1.2× 101 0.8× 98 1.5× 64 1.1× 50 1.1× 30 398
Warren He United States 4 545 2.2× 174 1.4× 48 0.7× 38 0.7× 198 4.3× 7 615
Jason Smith United States 2 330 1.4× 68 0.6× 63 1.0× 118 2.1× 249 5.4× 2 405
Micah Goldblum United States 6 231 0.9× 70 0.6× 38 0.6× 12 0.2× 147 3.2× 21 386
Donghua Wang China 8 179 0.7× 44 0.4× 57 0.9× 26 0.5× 63 1.4× 25 245
Xiaolin Chen China 11 160 0.7× 31 0.3× 140 2.1× 48 0.9× 119 2.6× 61 408
Orr Dunkelman Israel 13 439 1.8× 128 1.1× 58 0.9× 92 1.6× 286 6.2× 69 556
Mostafa Taha Canada 12 294 1.2× 91 0.8× 117 1.8× 150 2.7× 128 2.8× 25 430

Countries citing papers authored by Manaar Alam

Since Specialization
Citations

This map shows the geographic impact of Manaar Alam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manaar Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manaar Alam more than expected).

Fields of papers citing papers by Manaar Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manaar Alam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manaar Alam. The network helps show where Manaar Alam may publish in the future.

Co-authorship network of co-authors of Manaar Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Manaar Alam. A scholar is included among the top collaborators of Manaar Alam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manaar Alam. Manaar Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
3.
Alam, Manaar, et al.. (2024). Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 1–1. 1 indexed citations
4.
5.
Alam, Manaar, Yue Wang, & Michail Maniatakos. (2024). Detecting Backdoor Attacks in Black-Box Neural Networks through Hardware Performance Counters. 1–6. 1 indexed citations
6.
Alam, Manaar, et al.. (2024). Get Rid of Your Trail: Remotely Erasing Backdoors in Federated Learning. IEEE Transactions on Artificial Intelligence. 5(12). 6683–6698. 7 indexed citations
7.
Alam, Manaar, et al.. (2023). “Whispering MLaaS”. IACR Transactions on Cryptographic Hardware and Embedded Systems. 587–613. 1 indexed citations
8.
Alam, Manaar, et al.. (2023). On the Instability of Softmax Attention-Based Deep Learning Models in Side-Channel Analysis. IEEE Transactions on Information Forensics and Security. 19. 514–528. 9 indexed citations
9.
Saha, Sayandeep, et al.. (2023). Learn from Your Faults: Leakage Assessment in Fault Attacks Using Deep Learning. Journal of Cryptology. 36(3). 4 indexed citations
10.
Chatterjee, Urbi, et al.. (2022). Birds of the Same Feather Flock Together: A Dual-Mode Circuit Candidate for Strong PUF-TRNG Functionalities. IEEE Transactions on Computers. 72(6). 1636–1651. 9 indexed citations
11.
Alam, Manaar, Sayandeep Saha, Debdeep Mukhopadhyay, & Sandip Kundu. (2022). NN-Lock : A Lightweight Authorization to Prevent IP Threats of Deep Learning Models. ACM Journal on Emerging Technologies in Computing Systems. 18(3). 1–19. 11 indexed citations
12.
Saha, Sayandeep, et al.. (2022). Exploring Bitslicing Architectures for Enabling FHE-Assisted Machine Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4004–4015. 1 indexed citations
13.
Chakraborty, Anirban, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, & Debdeep Mukhopadhyay. (2021). A survey on adversarial attacks and defences. CAAI Transactions on Intelligence Technology. 6(1). 25–45. 201 indexed citations breakdown →
14.
Alam, Manaar, et al.. (2020). Improving accuracy of HPC-based malware classification for embedded platforms using gradient descent optimization. Journal of Cryptographic Engineering. 10(4). 289–303. 2 indexed citations
15.
Alam, Manaar, Debapriya Basu Roy, Dirmanto Jap, et al.. (2020). Neural Network-based Inherently Fault-tolerant Hardware Cryptographic Primitives without Explicit Redundancy Checks. ACM Journal on Emerging Technologies in Computing Systems. 17(1). 1–30. 4 indexed citations
16.
Shah, Nimesh, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, & Arindam Basu. (2019). A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance. 65. 627–632. 4 indexed citations
17.
Alam, Manaar, et al.. (2019). RATAFIA: Ransomware Analysis using Time And Frequency Informed Autoencoders. 218–227. 21 indexed citations
18.
Alam, Manaar & Debdeep Mukhopadhyay. (2019). How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?. 1–2. 15 indexed citations
19.
Roy, Debapriya Basu, Manaar Alam, Sarani Bhattacharya, et al.. (2018). Customized Instructions for Protection Against Memory Integrity Attacks. IEEE Embedded Systems Letters. 10(3). 91–94. 4 indexed citations
20.
Alam, Manaar, et al.. (2016). A novel parallel search technique for optimization. 44. 259–263. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kaichen Yang Breakdown of academic impact, for papers by Shaofeng Li Breakdown of academic impact, for papers by Wenhao Wang Breakdown of academic impact, for papers by Warren He Breakdown of academic impact, for papers by Jason Smith Breakdown of academic impact, for papers by Micah Goldblum Breakdown of academic impact, for papers by Donghua Wang Breakdown of academic impact, for papers by Xiaolin Chen Breakdown of academic impact, for papers by Orr Dunkelman Breakdown of academic impact, for papers by Mostafa Taha
Rankless by CCL
2026