An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. - Sailik Sengupta; Soham De; Amit Konar; Ramadoss Janarthanan (ReTIS, 2011)

Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). - Satya Gautam Vadlamudi; Sailik Sengupta; Marthony Taguinod; Ziming Zhao 001; Adam Doupé; Gail-Joon Ahn; Subbarao Kambhampati (AAMAS, 2016)

Compliant Conditions for Polynomial Time Approximation of Operator Counts. - Tathagata Chakraborti; Sarath Sreedharan; Sailik Sengupta; T. K. Satish Kumar; 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 001; Adam Doupé; Gail-Joon Ahn (CoRR, 2016)

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 Symposia, 2017)

Moving Target Defense: A Symbiotic Framework for AI & Security. - Sailik Sengupta (AAMAS, 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 001; Marthony Taguinod; Gail-Joon Ahn (AAMAS, 2017)

Securing Deep Neural Nets against Adversarial Attacks with Moving Target Defense. - Sailik Sengupta; Tathagata Chakraborti; Subbarao Kambhampati (CoRR, 2017)

MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. - Sailik Sengupta; Tathagata Chakraborti; Subbarao Kambhampati (AAAI Workshops, 2018)

Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud. - Sailik Sengupta; Ankur Chowdhary; Dijiang Huang; Subbarao Kambhampati (GameSec, 2018)

Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. - Niharika Jain; Lydia Manikonda; Alberto Olmo Hernandez; Sailik Sengupta; Subbarao Kambhampati (CoRR, 2018)

Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks. - Ankur Chowdhary; Sailik Sengupta; Dijiang Huang; Subbarao Kambhampati (CoRR, 2018)

General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks. - Sailik Sengupta; Ankur Chowdhary; Dijiang Huang; Subbarao Kambhampati (GameSec, 2019)

Adaptive MTD Security using Markov Game Modeling. - Ankur Chowdhary; Sailik Sengupta; Adel Alshamrani; Dijiang Huang; Abdulhakim Sabur (ICNC, 2019)

To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. - Sailik Sengupta; Zahra Zahedi; Subbarao Kambhampati (CoRR, 2019)

Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. - Sailik Sengupta; Kaustav Basu; Arunabha Sen; Subbarao Kambhampati (GameSec, 2020)

A Survey of Moving Target Defenses for Network Security. - Sailik Sengupta; Ankur Chowdhary; Abdulhakim Sabur; Adel Alshamrani; Dijiang Huang; Subbarao Kambhampati (IEEE Commun. Surv. Tutorials, 2020)

Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. - Niharika Jain; Alberto Olmo Hernandez; Sailik Sengupta; Lydia Manikonda; Subbarao Kambhampati (CoRR, 2020)

'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. - Zahra Zahedi; Sailik Sengupta; Subbarao Kambhampati (CoRR, 2020)

Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. - Alberto Olmo Hernandez; Sailik Sengupta; Subbarao Kambhampati (CoRR, 2020)

Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. - Sailik Sengupta; Subbarao Kambhampati (CoRR, 2020)

RADAR: automated task planning for proactive decision support. - Sachin Grover; Sailik Sengupta; Tathagata Chakraborti; Aditya Prasad Mishra; Subbarao Kambhampati (Hum. Comput. Interact., 2020)

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (AAAI, 2021)

Software Deception Steering through Version Emulation. - Frederico Araujo; Sailik Sengupta; Jiyong Jang; Adam Doupé; Kevin W. Hamlen; Subbarao Kambhampati (HICSS, 2021)

On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise. - Jason Krone; Sailik Sengupta; Saab Mansoor (CoRR, 2021)

RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (ICAPS, 2022)

Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. - Niharika Jain; Alberto Olmo Hernandez; Sailik Sengupta; Lydia Manikonda; Subbarao Kambhampati (Artif. Intell., 2022)

Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining. - Asa Cooper Stickland; Sailik Sengupta; Jason Krone; Saab Mansour; He He (CoRR, 2022)

Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. - Soumajyoti Sarkar; Kaixiang Lin; Sailik Sengupta; Leonard Lausen; Sheng Zha; Saab Mansour (CoRR, 2022)

'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. - Zahra Zahedi; Sailik Sengupta; Subbarao Kambhampati (AAMAS, 2023)

Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining. - Asa Cooper Stickland; Sailik Sengupta; Jason Krone; Saab Mansour; He He (EACL, 2023)

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. - Shufan Wang; Sébastien Jean; Sailik Sengupta; James Gung; Nikolaos Pappas 004; Yi Zhang 001 (EMNLP (Findings), 2023)

'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. - Zahra Zahedi; Sailik Sengupta; Subbarao Kambhampati (AAAI, 2024)

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. - Yuwei Zhang; Siffi Singh; Sailik Sengupta; Igor Shalyminov; Hang Su; Hwanjun Song; Saab Mansour (ACL (1), 2024)

FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. - Shamik Roy; Sailik Sengupta; Daniele Bonadiman; Saab Mansour; Arshit Gupta (NAACL-HLT, 2024)

DeAL: Decoding-time Alignment for Large Language Models. - James Y. Huang; Sailik Sengupta; Daniele Bonadiman; Yi'an Lai; Arshit Gupta; Nikolaos Pappas 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (CoRR, 2024)

SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. - Jongwoo Ko; Saket Dingliwal; Bhavana Ganesh; Sailik Sengupta; Sravan Bodapati; Aram Galstyan (CoRR, 2024)

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. - Subhojyoti Mukherjee; Anusha Lalitha; Sailik Sengupta; Aniket Deshmukh 001; Branislav Kveton (CoRR, 2024)

DeAL: Decoding-time Alignment for Large Language Models. - James Y. Huang; Sailik Sengupta; Daniele Bonadiman; Yi-An Lai; Arshit Gupta; Nikolaos Pappas 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (ACL (1), 2025)

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. - Jongwoo Ko; Saket Dingliwal; Bhavana Ganesh; Sailik Sengupta; Sravan Babu Bodapati; Aram Galstyan (ICLR, 2025)

InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models. - Pha Nguyen; Sailik Sengupta; Girik Malik; Arshit Gupta; Bonan Min (CoRR, 2025)

A Game-Theoretic Model of Trust in Human-Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior. - Zahra Zahedi; Sailik Sengupta; Subbarao Kambhampati (IEEE Trans. Hum. Mach. Syst., 2025)