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

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.