Tag Archives: 2019

Out of Control: Stealthy Attacks on Robotic Vehicles Protected by Control-Based Techniques

Pritam Dash, Mehdi Karimibuiki, and Karthik Pattabiraman, Annual Computer Security Applications Conference (ACSAC), 2019. (Acceptance Rate: 22.6%) [ PDF | Talk ] (CodeArtifacts Reusable Badge from ACM)(Videos) This work appeared in the media (Eureka alert)(TechXplore)(Globalnews)(Market Associates)(Helpnet, SERENE-RISC digest)
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A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2019. (Acceptance Rate: 31.4%) [ PDF | Talk ] (code)
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BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2019. (Acceptance Rate: 21%) [ PDF | Talk ] ( Code Finalist for the SC reproducibility challenge (one of 3 papers))
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OneOS: IoT Platform based on Posix and Actors

Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman, Proceedings of the Usenix Workshop on Hot Topics in Edge Computing (HotEdge), 2019. [ PDF | Talk ] (Code)
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BonVoision: Leveraging Spatial Data Smoothness for Recovery from Memory Soft Errors

Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu and Sriram Krishnamurthy, , Proceedings of the ACM International Conference on Supercomputing (ICS), 2019. (Acceptance Rate: 23.2 %). [ PDF | Talk ]
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Design-Level and Code-Level Security Analysis of IoT Devices

Farid Molazem Tabrizi and Karthik Pattabiraman, ACM Transactions on Embedded Computing Systems (TECS). [ PDF ]. Awarded best paper of TECS 2020. Received significant news coverage (see below).
(This paper supercedes our ACSAC’16 paper.)
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Failure Prediction in the Internet of Things due to Memory Exhaustion

Mohammad Rafiuzzaman, Julien Gascon-Samson, Karthik Pattabiraman, and Sathish Gopalakrishnan, Proceedings of the ACM/SIGAPP International Conference on Applied Computing (SAC), 2019. Dependable, Adaptive, Distributed Systems (DADS) Track. (Acceptance Rate: 27.5%) [ PDF | Talk ]
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