| 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 | 88 | 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 | 51 | 2016 |
| 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 | 49 | 2017 |
| 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 | 46* | 2019 |
| 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 | 38 | 2017 |
| 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 | 30 | 2018 |
| 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 304, 2022 | 28* | 2022 |
| 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 | 23* | 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 | 17 | 2020 |
| 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 | 16 | 2020 |
| 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 | 16 | 2019 |
| 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 | 12 | 2020 |
| 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 | 12 | 2018 |
| 'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees Z *Zahedi, S *Sengupta, S Kambhampati NeurIPS Workshop on Cooperative AI (Coop-AI), 2020 | 8* | 2020 |
| Moving Target Defense: A Symbiotic Framework for AI & Security S Sengupta Autonomous Agents and MultiAgent Systems (AAMAS) DC, 1861-1862, 2017 | 8* | 2017 |
| An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index S Sengupta, S De, A Konar, R Janarthanan 2011 International Conference on Recent Trends in Information Systems, 269-274, 2011 | 8 | 2011 |
| RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions K Valmeekam, S Sreedharan, S Sengupta, S Kambhampati ICAPS Workshop on Explainable AI Planning (XAIP), 2020 | 6* | 2020 |
| 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 | 6 | 2019 |
| CAP: A Decision Support System for Crew Scheduling using Automated Planning AP Mishra, S Sengupta, S Sreedharan, T Chakraborti, S Kambhampati Naturalistic Decision Making, 2019 | 5 | 2019 |
| iPass: A Case Study of the Effectiveness of Automated Planning for Decision Support S Grover, S Sengupta, T Chakraborti, AP Mishra, S Kambhampati Naturalistic Decision Making, 2019 | 5 | 2019 |
Subbarao KambhampatiArizona State UniversityПотвърден имейл адрес: asu.edu
