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Sailik Sengupta
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2020 – today
- 2024
- [c21]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. AAAI 2024: 10243-10251 - [c20]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) 2024: 552-567 - [c19]Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta:
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. NAACL-HLT 2024: 517-539 - [i21]James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth:
DeAL: Decoding-time Alignment for Large Language Models. CoRR abs/2402.06147 (2024) - [i20]Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR abs/2403.04314 (2024) - [i19]Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta:
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. CoRR abs/2403.05766 (2024) - 2023
- [c18]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. AAMAS 2023: 2292-2294 - [c17]Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He:
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining. EACL 2023: 1367-1383 - [c16]Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang:
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. EMNLP (Findings) 2023: 7196-7207 - [i18]Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang:
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. CoRR abs/2305.15338 (2023) - 2022
- [j3]Niharika Jain
, Alberto Olmo Hernandez
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. Artif. Intell. 304: 103652 (2022) - [c15]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS 2022: 508-517 - [i17]Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He:
Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining. CoRR abs/2210.04782 (2022) - [i16]Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, Leonard Lausen, Sheng Zha, Saab Mansour:
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. CoRR abs/2211.03966 (2022) - 2021
- [c14]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI 2021: 16051-16053 - [c13]Frederico Araujo, Sailik Sengupta, Jiyong Jang, Adam Doupé, Kevin W. Hamlen, Subbarao Kambhampati:
Software Deception Steering through Version Emulation. HICSS 2021: 1-10 - [i15]Jason Krone, Sailik Sengupta, Saab Mansoor:
On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise. CoRR abs/2104.07149 (2021) - 2020
- [j2]Sailik Sengupta
A Survey of Moving Target Defenses for Network Security. IEEE Commun. Surv. Tutorials 22(3): 1909-1941 (2020) - [j1]Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra, Subbarao Kambhampati:
RADAR: automated task planning for proactive decision support. Hum. Comput. Interact. 35(5-6): 387-412 (2020) - [c12]Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati:
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. GameSec 2020: 241-253 - [i14]Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati:
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. CoRR abs/2001.09528 (2020) - [i13]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. CoRR abs/2002.01640 (2020) - [i12]Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati:
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. CoRR abs/2006.14841 (2020) - [i11]Sailik Sengupta, Subbarao Kambhampati:
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. CoRR abs/2007.10457 (2020) - [i10]Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati:
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. CoRR abs/2010.03713 (2020) - [i9]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR abs/2011.09644 (2020)
2010 – 2019
- 2019
- [c11]Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. GameSec 2019: 479-491 - [c10]Sailik Sengupta, Ankur Chowdhary, Dijiang Huang
General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks. GameSec 2019: 492-512 - [c9]Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang
Adaptive MTD Security using Markov Game Modeling. ICNC 2019: 577-581 - [i8]Sailik Sengupta, Zahra Zahedi, Subbarao Kambhampati:
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. CoRR abs/1903.00111 (2019) - [i7]Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani, Subbarao Kambhampati:
A Survey of Moving Target Defenses for Network Security. CoRR abs/1905.00964 (2019) - 2018
- [c8]Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. AAAI Workshops 2018: 376-383 - [c7]Sailik Sengupta, Ankur Chowdhary, Dijiang Huang
Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud. GameSec 2018: 326-345 - [i6]Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang, Abdulhakim Sabur:
Adaptive MTD Security using Markov Game Modeling. CoRR abs/1811.00651 (2018) - [i5]Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati:
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. CoRR abs/1811.03751 (2018) - [i4]Ankur Chowdhary, Sailik Sengupta, Dijiang Huang, Subbarao Kambhampati:
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks. CoRR abs/1812.09660 (2018) - 2017
- [c6]Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, Subbarao Kambhampati:
RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning. AAAI Fall Symposia 2017: 269-276 - [c5]Sailik Sengupta, Satya Gautam Vadlamudi, Subbarao Kambhampati, Adam Doupé, Ziming Zhao, Marthony Taguinod, Gail-Joon Ahn:
A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. AAMAS 2017: 178-186 - [c4]Sailik Sengupta:
Moving Target Defense: A Symbiotic Framework for AI & Security. AAMAS 2017: 1861-1862 - [i3]Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
Securing Deep Neural Nets against Adversarial Attacks with Moving Target Defense. CoRR abs/1705.07213 (2017) - 2016
- [c3]Satya Gautam Vadlamudi, Sailik Sengupta, Marthony Taguinod, Ziming Zhao, Adam Doupé, Gail-Joon Ahn, Subbarao Kambhampati:
Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). AAMAS 2016: 1377-1378 - [c2]Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati:
Compliant Conditions for Polynomial Time Approximation of Operator Counts. SOCS 2016: 123-124 - [i2]Satya Gautam Vadlamudi, Sailik Sengupta, Subbarao Kambhampati, Marthony Taguinod, Ziming Zhao, Adam Doupé, Gail-Joon Ahn:
Moving Target Defense for Web Applications using Bayesian Stackelberg Games. CoRR abs/1602.07024 (2016) - [i1]Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati:
Compliant Conditions for Polynomial Time Approximation of Operator Counts. CoRR abs/1605.07989 (2016) - 2011
- [c1]Sailik Sengupta, Soham De, Amit Konar, Ramadoss Janarthanan
An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. ReTIS 2011: 269-274
Coauthor Index
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