Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman, To appear in the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021. (Acceptance Rate: 16.5%). [ PDF | Talk ] (Code, Videos)
Continue reading
Tag Archives: conference
PID-Piper: Recovering Robotic Vehicles from Physical Attacks
Comments Off on PID-Piper: Recovering Robotic Vehicles from Physical Attacks
Filed under papers
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Zitao Chen, Guanpeng Li, and Karthik Pattabiraman, To appear in the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021. (Acceptance Rate: 16.5%). [ PDF | Talk ] (arXIV, code)
Continue reading
Comments Off on A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Filed under papers
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)
Continue reading
Comments Off on How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method
Filed under papers
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)
Continue reading
Comments Off on TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications
Filed under papers
GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari, ACM International Conference on High-Performance Computing, Networking, Storage, and Analyzis (SC), 2020 (Acceptance Rate: 25.1%) [PDF | Talk] (Code)
Continue reading
Comments Off on GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs
Filed under papers
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. (Acceptance Rate: 26%) [PDF | Talk] (DataSet, Code – Artifacts Functional Badge)
Continue reading
Comments Off on How Effective are Smart Contract Static Analysis Tools ? Evaluating Smart Contract Static Analysis Tools Using Bug Injection
Filed under papers
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)
Continue reading
Comments Off on TraceSanitizer – Eliminating the Effects of Non-determinism on Error Propagation Analysis
Filed under papers
Out of Control: Stealthy Attacks on Robotic Vehicles Protected by Control-Based Techniques
Pritam Dash, Mehdi Karimibiuki, and Karthik Pattabiraman, Annual Computer Security Applications Conference (ACSAC), 2019. (Acceptance Rate: 22.6%) [ PDF | Talk ] (Code – Artifacts Reusable Badge from ACM)(Videos) This work appeared in the media (Eureka alert)(TechXplore)(Globalnews)(Market Associates)(Helpnet, SERENE-RISC digest)
Continue reading
Comments Off on Out of Control: Stealthy Attacks on Robotic Vehicles Protected by Control-Based Techniques
Filed under papers
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)
Continue reading
Comments Off on A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection
Filed under papers
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))
Continue reading
Comments Off on BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems
Filed under papers
