Sailik Sengupta

51 papers A* 4A 5B 1Misc 1Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Game-Theoretic Model of Trust in Human-Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior. IEEE Trans. Hum. Mach. Syst. Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
2025	—	`conf`	DeAL: Decoding-time Alignment for Large Language Models. ACL (1) James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth
2025	J	`jnl`	InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models. CoRR Pha Nguyen, Sailik Sengupta, Girik Malik, Arshit Gupta, Bonan Min
2025	A*	`conf`	SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. ICLR Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan
2024	A*	`conf`	'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. AAAI Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
2024	—	`conf`	Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
2024	J	`jnl`	Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
2024	J	`jnl`	DeAL: Decoding-time Alignment for Large Language Models. CoRR James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth
2024	—	`conf`	FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. NAACL-HLT Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta
2024	J	`jnl`	FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. CoRR Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta
2024	J	`jnl`	Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. CoRR Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta, Aniket Deshmukh, Branislav Kveton
2024	J	`jnl`	SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. CoRR Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan
2023	A	`conf`	'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. AAMAS Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
2023	—	`conf`	Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. EMNLP (Findings) Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang
2023	J	`jnl`	Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. CoRR Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang
2023	A	`conf`	Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining. EACL Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He
2022	J	`jnl`	Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. Artif. Intell. Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
2022	J	`jnl`	Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. CoRR Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, Leonard Lausen, Sheng Zha, Saab Mansour
2022	A*	`conf`	RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2022	J	`jnl`	Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining. CoRR Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He
2021	J	`jnl`	On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise. CoRR Jason Krone, Sailik Sengupta, Saab Mansoor
2021	A*	`conf`	RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2021	—	`conf`	Software Deception Steering through Version Emulation. HICSS Frederico Araujo, Sailik Sengupta, Jiyong Jang, Adam Doupé, Kevin W. Hamlen, Subbarao Kambhampati
2020	J	`jnl`	'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. CoRR Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
2020	J	`jnl`	A Survey of Moving Target Defenses for Network Security. IEEE Commun. Surv. Tutorials Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Adel Alshamrani, Dijiang Huang, Subbarao Kambhampati
2020	J	`jnl`	Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. CoRR Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
2020	—	`conf`	Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. GameSec Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati
2020	J	`jnl`	Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. CoRR Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati
2020	J	`jnl`	Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. CoRR Sailik Sengupta, Subbarao Kambhampati
2020	J	`jnl`	Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. CoRR Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati
2020	J	`jnl`	RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2020	J	`jnl`	RADAR: automated task planning for proactive decision support. Hum. Comput. Interact. Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra, Subbarao Kambhampati
2019	J	`jnl`	A Survey of Moving Target Defenses for Network Security. CoRR Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani, Subbarao Kambhampati
2019	Misc	`conf`	Adaptive MTD Security using Markov Game Modeling. ICNC Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang, Abdulhakim Sabur
2019	—	`conf`	General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks. GameSec Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati
2019	—	`conf`	MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. GameSec Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
2019	J	`jnl`	To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. CoRR Sailik Sengupta, Zahra Zahedi, Subbarao Kambhampati
2018	J	`jnl`	Adaptive MTD Security using Markov Game Modeling. CoRR Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang, Abdulhakim Sabur
2018	J	`jnl`	Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. CoRR Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati
2018	—	`conf`	MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. AAAI Workshops Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
2018	J	`jnl`	Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks. CoRR Ankur Chowdhary, Sailik Sengupta, Dijiang Huang, Subbarao Kambhampati
2018	—	`conf`	Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud. GameSec Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati
2017	A	`conf`	A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. AAMAS Sailik Sengupta, Satya Gautam Vadlamudi, Subbarao Kambhampati, Adam Doupé, Ziming Zhao, Marthony Taguinod, Gail-Joon Ahn
2017	A	`conf`	Moving Target Defense: A Symbiotic Framework for AI & Security. AAMAS Sailik Sengupta
2017	—	`conf`	RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning. AAAI Fall Symposia Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, Subbarao Kambhampati
2017	J	`jnl`	Securing Deep Neural Nets against Adversarial Attacks with Moving Target Defense. CoRR Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
2016	B	`conf`	Compliant Conditions for Polynomial Time Approximation of Operator Counts. SOCS Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati
2016	J	`jnl`	Compliant Conditions for Polynomial Time Approximation of Operator Counts. CoRR Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati
2016	J	`jnl`	Moving Target Defense for Web Applications using Bayesian Stackelberg Games. CoRR Satya Gautam Vadlamudi, Sailik Sengupta, Subbarao Kambhampati, Marthony Taguinod, Ziming Zhao, Adam Doupé, Gail-Joon Ahn
2016	A	`conf`	Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). AAMAS Satya Gautam Vadlamudi, Sailik Sengupta, Marthony Taguinod, Ziming Zhao, Adam Doupé, Gail-Joon Ahn, Subbarao Kambhampati
2011	—	`conf`	An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. ReTIS Sailik Sengupta, Soham De, Amit Konar, Ramadoss Janarthanan