Tag Archives: conference

How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method

Yong Yang, Yifan Yu, Karthik Pattabiraman, Long Wang, Ying Li, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020. (Acceptance Rate: 26%). [ PDF | Talk ] (Code)
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TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020. (Acceptance Rate: 26%) [ PDF | Talk ] (Code)
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GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs

Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari, To appear in the ACM International Conference on High-Performance Computing, Networking, Storage, and Analyzis (SC), 2020 (Acceptance Rate: TBD) [PDF | Talk] (Code)
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How Effective are Smart Contract Static Analysis Tools ? Evaluating Smart Contract Static Analysis Tools Using Bug Injection

Asem Ghaleb and Karthik Pattabiraman, Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020. [PDF | Talk] (Acceptance Rate: 26%) (DataSet, CodeArtifacts Functional Badge)
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TraceSanitizer – Eliminating the Effects of Non-determinism on Error Propagation Analysis

Habib Saissi, Stefan Winter, Oliver Schwan, Karthik Pattabiraman, and Neeraj Suri, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2020. (Acceptance Rate: 16.5%). [PDF | Talk] (Code)
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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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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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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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