| A survey of moving target defenses for network security S Sengupta, A Chowdhary, A Sabur, D Huang, A Alshamrani, ... IEEE Communications Surveys and Tutorials, 2020 | 234 | 2020 |
| MTDeep: Moving Target Defense to Boost the Security of Deep Neural Nets Against Adversarial Attacks S Sengupta, T Chakraborti, S Kambhampati Conference on Decision and Game Theory for Security (GameSec), 2019 | 82* | 2019 |
| Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Face Lenses N Jain*, A Olmo*, S Sengupta, L Manikonda, S Kambhampati Artificial Intelligence (AIJ) 304, 2022 | 76* | 2022 |
| A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications S Sengupta, SG Vadlamudi, S Kambhampati, A Doupé, Z Zhao, ... International Conference on Autonomous Agents \& Multiagent Systems (AAMAS), 2017 | 74 | 2017 |
| DAPT 2020-Constructing a Benchmark Dataset for Advanced Persistent Threats S Myneni, A Chowdhary, A Sabur, S Sengupta, G Agrawal, D Huang, ... ML-Hat @ KDD, 2020 | 62 | 2020 |
| Moving target defense for web applications using bayesian stackelberg games SG Vadlamudi, S Sengupta, M Taguinod, Z Zhao, A Doupé, GJ Ahn, ... International Conference on Autonomous Agents & Multiagent Systems (AAMAS …, 2016 | 55 | 2016 |
| Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud S Sengupta, A Chowdhary, D Huang, S Kambhampati Conference on Decision and Game Theory for Security (GameSec), 2018 | 51 | 2018 |
| Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov games for Adaptive Moving Target Defense S Sengupta, S Kambhampati NeurIPS Workshop on Real-world Reinforcement Learning (RWRL), 2020 | 50 | 2020 |
| RADAR Proactive Decision Support System for Human-in-the-Loop Planning S Sengupta, T Chakraborti, S Sreedharan, SG Vadlamudi, ... AAAI Fall Symposium on Human-Agent Groups: Studies, Algorithms, and Challenges, 2017 | 47 | 2017 |
| Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks A Chowdhary, S Sengupta, D Huang, S Kambhampati AAAI Workshop on Artificial Intelligence for Cyber Security (AICS), 2019 | 42* | 2019 |
| General Sum Markov Games for Strategic Detection of Advanced Persistent Threats using Moving Target Defense in Cloud Networks S Sengupta, A Chowdhary, D Huang, S Kambhampati Conference on Decision and Game Theory for Security (GameSec), 2019 | 40 | 2019 |
| RADAR: Automated Task Planning for Proactive Decision Support S Grover, S Sengupta, T Chakraborti, AP Mishra, S Kambhampati Human–Computer Interaction 35 (5-6), 387-412, 2020 | 35 | 2020 |
| RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions K Valmeekam, S Sreedharan, S Sengupta, S Kambhampati International Conference on Automated Planning and Scheduling (ICAPS), 2022 | 22* | 2022 |
| MA-RADAR Mixed-Reality Interface for Collaborative Decision Making S Sengupta, T Chakraborti, S Kambhampati ICAPS Workshop on User Interfaces for Scheduling and Planning (UISP), 2018 | 20 | 2018 |
| On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise S Sengupta*, J Krone*, S Mansour Empirical Methods in Natural Language Processing (EMNLP - Conversational AI), 2021 | 13* | 2021 |
| "Why didn't you allocate this task to them?" Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation Z Zahedi, S Sengupta, S Kambhampati Association for the Advancement of Artificial Intelligence (AAAI), 2024 | 12* | 2024 |
| To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust S Sengupta, Z Zahedi, S Kambhampati 21st International Workshop on Trust in Agent Societies, AAMAS, 2019 | 11 | 2019 |
| An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index S Sengupta, S De, A Konar, R Janarthanan International Conference on Recent Trends in Information Systems (ReTIS …, 2011 | 11 | 2011 |
| Moving Target Defense: A Symbiotic Framework for AI & Security S Sengupta Autonomous Agents and MultiAgent Systems (AAMAS) DC, 1861-1862, 2017 | 10 | 2017 |
| Deal: Decoding-time alignment for large language models JY Huang, S Sengupta, D Bonadiman, Y Lai, A Gupta, N Pappas, ... arXiv preprint arXiv:2402.06147, 2024 | 9 | 2024 |
Subbarao KambhampatiArizona State University在 asu.edu 的电子邮件经过验证
