Jaydip Sen

About

Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a Professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals and referred conference proceedings and 18 book chapters in books published by internationally renowned publishing houses like Springer, CRC press, IGI-Global, etc. Currently, he is serving in the editorial board of the prestigious journal Frontiers of Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA and the ACM, USA. He has been listed among the top 2% of scientists in the world for both the years 2020 and 2021 August 2021.

Employment

• Praxis Business School Professor
  2020 - Present
• NSHM Knowledge Campus - Kolkata Professor & Head
  2018 - 2020
• Praxis Business School Professor
  2017 - 2018
• Calcutta Business School Professor
  2014 - 2017
• National Institute of Science and Technology Professor
  2012 - 2014
• Tata Consultancy Services Ltd Senior Scientist
  2007 - 2012
• Tata Consultancy Services Ltd Senior Scientist
  2006 - 2007

Education

• Indian Statistical Institute Master of Technology (M.Tech) in Computer Science
  1999 - 2001
• Jadavpur University Bachelor of Engineering (B.E) in Mechanical Engineering
  1984 - 1988

Projects & Funding

Projects & funding information is unavailable.

Publications (136)

• Quantum-Enhanced Adversarial Robustness in Artificial Intelligence
  2026 DOI: 10.4018/979-8-2600-0156-1.ch009
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• Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs
  2026 DOI: 10.1007/978-3-032-13497-4_17
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• Hierarchical Verification of Speculative Beams for Accelerating LLM Inference
  2026 DOI: 10.1007/978-3-032-07735-6_19
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• Adversarial Text Generation with Dynamic Contextual Perturbation
  2025 DOI: 10.36227/techrxiv.173886311.16571432/v1
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• Adversarial Text Generation with Dynamic Contextual Perturbation
  2025 DOI: 10.20944/preprints202501.0643.v1
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• A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
  2025 DOI: 10.1007/978-981-96-0451-7_27
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• Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
  2025 DOI: 10.1007/978-981-96-1185-0_33
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• Adversarial Resilience in Image Classification: A Hybrid Approach to Defense
  2024 DOI: 10.36227/techrxiv.173273800.05791302/v1
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• Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
  2024 DOI: 10.36227/techrxiv.172047313.38449559/v1
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• Semantic Stealth: Adversarial Text Attacks on NLP using Several Methods
  2024 DOI: 10.36227/techrxiv.171392778.89337138/v1
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