Christopher Gill
Boloor, K. Garimella, X. He, C. Gill, Y. Vorobeychik and X. Zhang, Attacking Vision-based Perception in End-to-End Autonomous Driving Models, Journal of Systems Architecture 110, November 2020.
Boloor, X. He, C. Gill, Y. Vorobeychik and X. Zhang, Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models, 15th IEEE International Conference on Embedded Software and Systems (ICESS), Las Vegas, Nevada, USA, June, 2019.
Roch Guerin
A. Chakrabarti, R. Guérin, C. Lu and J. Liu, “Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints,” 2021 IEEE/ACM Symposium on Edge Computing (SEC), 2021, pp. 41-54, doi: 10.1145/3453142.3492329. [Link]
Sanjoy Baruah
Tarek Abdelzaher, Sanjoy Baruah, Chris Gill, Yevgeniy Vorobeychik, Ning Zhang, and Xuan Zhang. Research Challenges forCombined Autonomy, AI, and Real-Time Assurance. Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence (CogMI), December 2021. [Link]
Sanjoy Baruah, Alan Burns, and Yue Wu. Optimal Synthesis of IDK-Cascades. Proceedings of the 29th International Conference on Real-Time and Network Systems (RTNS), Nantes, France. April 2021. ACM Press. [Link]
Sanjoy Baruah, Peter Lee, Prakash Sarathy, and Marilyn Wolf. Achieving Resiliency and Behavior Assurance in Autonomous Navigation: An Industry Perspective. Proceedings of the IEEE, special issue on Self-Awareness for Autonomous Systems, 108(7), pp 1196-1207, July 2020. IEEE Press [Link]
Sanjoy Baruah and Alan Burns. Expressing Survivability Considerations in Mixed-Criticality Scheduling Theory. Journal of Systems Architecture 109, 2020. Elsevier. [Link]
Kunal Agrawal, Sanjoy Baruah, and Alan Burns. The Safe and Effective Use of Learning-Enabled Components in Safety-Critical Systems. Proceedings of the EuroMicro Conference on Real-Time Systems (ECRTS 2020), Modena, Italy. July 2020. Leibniz International Proceedings in Informatics, Schloss Dagstuhl – Leibniz Center for Informatics. [Link]
Netanel Raviv
Proceedings of the 38th International Conference on Machine Learning, PMLR 139:8880-8889, 2021. [Link]
Constance Vale
The autonomous vehicle testing platform: [Link]
The Autonomous Future of Mobility: [Link]
Image Fictions: Fabricating Worlds: [Link]
Special Session: Speculative Practice in Pedagogy : [Link]
William Yeoh
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems [Link]
On Exploiting Hitting Sets for Model Reconciliation [Link]
Model Reconciliation in Logic Programs* [Link]
VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems * [Link]
Yevgeniy Vorobeychik
Junlin Wu, Charles Kamhoua, Murat Kantarcioglu and Yevgeniy Vorobeychik. Learning Generative Deception Strategies in Combinatorial Masking Games. (Conference on Decision and Game Theory for Security, 2021).
Shanto Roy, Salah Kadir, Yevgeniy Vorobeychik and Aron Laszka. Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. (Conference on Decision and Game Theory for Security, 2021).
Netanel Raviv, Aidan Kelley, Minzhe Guo, and Yevgeny Vorobeychik Enhancing Robustness of Neural Networks through Fourier Stabilization. (International Conference on Machine Learning, 2021).
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, and Yevgeniy Vorobeychik. FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. (IEEE / CVF Computer Vision and Pattern Recognition Conference, 2021).
Benjamin Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad and Scott Alfeld. PATHATTACK: Attacking Shortest Paths in Complex Networks. (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021).
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan and Tomasz Michalak. Strategic Evasion of Centrality Measures. (International Conference on Autonomous Agents and Multi-Agent Systems, 2021).
Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik. POTION: Optimizing Graph Structure for Targeted Diffusion. (SIAM International Conference on Data Mining, 2021).
Junlin Wu and Yevgeniy Vorobeychik. Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. (International Conference on Machine Learning, 2022).
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, and Bo Li. CROP: Certifying robust policies for reinforcement learning through functional smoothing. (International Conference on Learning Representations, 2022).
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, and Yevgeniy Vorobeychik. PROVES: Establishing Image Provenance using Semantic Signatures. (Winter Conference on Applications of Computer Vision, 2022).
Shaojie Wang, Tong Wu, Ayan Chakrabarti, and Yevgeniy Vorobeychik. Adversarial Robustness of Deep Sensor Fusion Models. (Winter Conference on Applications of Computer Vision, 2022).