Tag Archives: security

A Method to Facilitate Membership Inference Attacks in Deep Learning Models

Posted on June 22, 2024 by | Comments Off on A Method to Facilitate Membership Inference Attacks in Deep Learning Models

Zitao Chen and Karthik Pattabiraman, To appear in the Network and Distributed Systems Security Symposium (NDSS), 2025. (Acceptance Rate: TBD) [ PDF (Coming soon) | Talk ] (Code)
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POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance

Posted on March 9, 2024 by | Comments Off on POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance

Rui Xi, Zehua Wang, and Karthik Pattabiraman, Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2024. (Acceptance Rate: 17.8%) [ PDF | Talk] (Code)
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Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems

Posted on February 16, 2024 by | Comments Off on Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems

Mohammad ElNawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, and Karthik Pattabiraman, Proceedings of the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (CHASE 2024). (Acceptance Rate: 28.4%) [ PDF | Talk ] (arXIV version, Code&data)
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Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks

Posted on December 19, 2023 by | Comments Off on Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks

Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, and Karthik Pattabiraman, To appear in the ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024. (Acceptance Rate: TBD) [PDF | Talk] (Code) (arXIV version)
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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

Posted on December 2, 2023 by | Comments Off on Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

Zitao Chen and Karthik Pattabiraman, Proceedings of the Network and Distributed Systems Security Conference (NDSS), 2024. (Acceptance Rate: 15%). [ PDF | Talk ] (ArXIV, Code). Artifacts Available, Functional and Reproduced
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SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Posted on March 18, 2023 by | Comments Off on SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Elaine Yao, Pritam Dash and Karthik Pattabiraman, Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2023. (Acceptance rate: 20%) [ PDF | Talk ] (Code)
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AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Posted on December 8, 2022 by | Comments Off on AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman, Proceedings of the IEEE/ACM International Conference on Software Engineering (ICSE), 2023. (Acceptance Rate: 26%) [ PDF | Talk ] (Code). Artifacts available and reusable badge
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Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

Posted on November 23, 2022 by | Comments Off on Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

Zitao Chen, Pritam Dash, and Karthik Pattabiraman. Proceedings of the 18th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), 2023. (Acceptance Rate: 16%) [ PDF | Talk ] (code)
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A Large-scale Empirical Study of Low-level Function Use in Ethereum Smart Contracts and Automated Replacement

Posted on October 7, 2022 by | Comments Off on A Large-scale Empirical Study of Low-level Function Use in Ethereum Smart Contracts and Automated Replacement

Rui Xi and Karthik Pattabiraman, Journal of Software Practice and Experience (SPE). [ PDF ] (featured in the Smart Contract Research Forum)
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eTainter: Detecting Gas-Related Vulnerabilities in Smart Contracts

Posted on April 8, 2022 by | Comments Off on eTainter: Detecting Gas-Related Vulnerabilities in Smart Contracts

Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman, ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022. (Acceptance Rate: 24.5%). [ PDF | Talk ] (Code) Artifacts Available and Reproducible Badge (link)
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