sailik image

sailiks {at} asu {dot} edu

Curriculum Vitae


Hi! This is Sailik. After being born and raised in Bengal for a substantial amount of time, he developed a taste for life-long learning, thinking, coding, eating (lots of food), reading, listening to good music and photography.

At present, he is a Ph.D. student at Arizona State University and works with Dr. Subbarao Kambhampati. His research interests lie in developing machine learning and game theoretic techniques for cybersecurity systems and devising methods to help secure machine learning systems. Being a part of the Yochan Lab, he also developed interest in Automated Planning and works on building Automated Planning Assistants for human-in-the-loop planning scenarios.

He likes to talk (a lot) and spends a lot of time doing so (sometimes on random topics completely unrelated to his research). He is often self-critical about his shortcomings and feels correcting them will help him to become a better person.

In case you are interested to know what research goes on in the lab, do check the Yochan lab homepage. Feel free to reach out to him for any queries (or just say a 'hi').

You can download a copy of his CV here.

Lastly, since he gets asked this many times, the pronunciation of his name (Sailik) is Sho-e-lik in his native language, Bengali. It means the aesthetic quality of any work.




MTDeep - Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense

Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati

AAAI'18 Workshop on Engineering Dependable and Secure Machine Learning Systems

An Investigation of Bounded Misclassification for Operational Security of Deep Neural Networks

Sailik Sengupta, Andrew Dudley, Tathagata Chakraborti, Subbarao Kambhampati

AAAI'18 Workshop on Engineering Dependable and Secure Machine Learning Systems

MA-RADAR - A Mixed-Reality Interface for Collaborative Decision Making

Sailik Sengupta*, Tathagata Chakraborti*, Subbarao Kambhampati

ICAPS, 2018 System Demo (Also to be presented at the UISP Workshop @ ICAPS, 2018)


RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning

Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, Subbarao Kambhampati

AAAI Fall Symposium on Human-Agent Groups, 2017

ICAPS, 2017 System Demo (Was also presented at the UISP Workshop @ ICAPS, 2017)

A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications

Sailik Sengupta, Satya Gautam Vadlamudi, Subbarao Kambhampati, Adam Doupé, Ziming Zhao, Marthony Taguinod, Gail-Joon Ahn

AAMAS, 2017 (Also presented at ADVERSE workshop @ AAMAS, 2017)

Moving Target Defense: A Symbiotic Framework for AI & Security

Sailik Sengupta

AAMAS (DC), 2017


Compliant Conditions for Polynomial Time Approximation of Operator Counts

Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar and Subbarao Kambhampati

SoCS, 2016

Moving Target Defense For Web Applications Using Bayesian Stackelberg Games

Satya Gautam Vadlamudi, Sailik Sengupta, Subbarao Kambhampati, Marthony Taguinod, Ziming Zhao, Adam Doupé, Gail-Joon Ahn

AAMAS, 2016


Application of worker-manager model to genomic networks for identifying key regulators in Glioblastoma

worked under Debarka Sengupta and Sangamitra Bandhopadhyay


An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index

Sailik Sengupta, Soham De, Amit Konar, R. Janarthanan

ReTIS, 2010



Awards and Services

Projects and Other Stuff