Sailik Sengupta

Orcid: 0000-0002-6059-7967

According to our database1, Sailik Sengupta authored at least 36 papers between 2011 and 2024.

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Bibliography

2024
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs.
CoRR, 2024

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders.
CoRR, 2024

DeAL: Decoding-time Alignment for Large Language Models.
CoRR, 2024

'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic.
CoRR, 2022

Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining.
CoRR, 2022

Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses.
Artif. Intell., 2022

RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise.
CoRR, 2021

Software Deception Steering through Version Emulation.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RADAR: automated task planning for proactive decision support.
Hum. Comput. Interact., 2020

Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense.
CoRR, 2020

Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification.
CoRR, 2020

'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees.
CoRR, 2020

Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses.
CoRR, 2020

A Survey of Moving Target Defenses for Network Security.
IEEE Commun. Surv. Tutorials, 2020

Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

2019
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust.
CoRR, 2019

Adaptive MTD Security using Markov Game Modeling.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

2018
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks.
CoRR, 2018

Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases.
CoRR, 2018

Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

2017
Securing Deep Neural Nets against Adversarial Attacks with Moving Target Defense.
CoRR, 2017

A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Moving Target Defense: A Symbiotic Framework for AI & Security.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
Moving Target Defense for Web Applications using Bayesian Stackelberg Games.
CoRR, 2016

Compliant Conditions for Polynomial Time Approximation of Operator Counts.
Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2011
An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index.
Proceedings of the International Conference on Recent Trends in Information Systems, 2011


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