| DSN'26 | Thinking Inside the Box: Injecting Realistic Radiation Faults in ML Accelerators, Best Paper Award(Accept: 20%)
Bruno Loureiro Coelho, Seyedmani Sadati, Abraham Chan, Alex Hands, Karthik Pattabiraman, and Paolo Rech |
| DSN'26 | ReSect: A Tool for Automated Analysis of Reentrancy Exploit Transactions on Blockchains, (Accept: 20%)
Yuqi Liu, Rui Xi, and Karthik Pattabiraman |
| CCS'25 | Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models, (Accept: 14.5%)
Zitao Chen and Karthik Pattabiraman |
| DSN'25 | ReMIX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data, (Accept: 20%)
Abraham Chan, Arpan Gujarati, Karthik Pattabiraman and Sathish Gopalakrishnan |
| DSN'25 | RAVAGE: Robotic Autonomous Vehicles' Attack Generation Engine, (Accept: 20%)
Pritam Dash and Karthik Pattabiraman |
| DSN'25 | Reentrancy Redux: The Evolution of Real-World Reentrancy Attacks on Blockchains, (Accept: 20%)
Yuqi Liu, Rui Xi, and Karthik Pattabiraman |
| NDSS'25 | A Method to Facilitate Membership Inference Attacks in Deep Learning Models, (Accept: 16.1%)
Zitao Chen and Karthik Pattabiraman |
| CCS'24 | AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices, (Accept: 16.7%)
Mohsen Salehi and Karthik Pattabiraman |
| CCS'24 | SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks, (Accept: 16.7%)
Pritam Dash, Ethan Chan and Karthik Pattabiraman |
| IEEE S&P'24 | POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance, (Accept: 17.8%)
Rui Xi, Zehua Wang, and Karthik Pattabiraman |
| NDSS'24 | Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction, (Accept: 15%)
Zitao Chen and Karthik Pattabiraman |
| SC'23 | Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults, (Accept: 23.9%)
Ali Asgari, Florian Geissler, Syed Qutub, Michael Paulitsch, Prashant Nair, and Karthik Pattabiraman |
| DSN'23 | SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms, (Accept: 20%)
Yiangao (Elaine) Yao, Pritam Dash, and Karthik Pattabiraman |
| ICSE'23 | AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities, (Accept: 26%)
Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman |
| ISSTA'22 | eTainter: Detecting Gas-Related Vulnerabilities in Smart Contracts, (Accept: 24.5%)
Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman |
| DSN'22 | The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in ML Applications, (Accept: 18.7%)
Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, and Sathish Gopalakrishnan |
| DSN'21 | PID-Piper: Recovering Robotic Vehicles from Physical Attacks, Best Paper Award (Accept: 16.5%)
Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman |
| DSN'21 | A Low Cost Fault Corrector for Deep Neural Networks through Range Restriction, Best Paper Runner-Up; IEEE TPTR 2024 (Accept: 16.5%)
Zitao Chen, Guanpeng Li, and Karthik Pattabiraman |
| SC'20 | GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs, (Accept: 25.1%)
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari |
| ISSTA'20 | How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection, (Accept: 26%)
Asem Ghaleb and Karthik Pattabiraman |
| DSN'20 | Trace Sanitizer: Eliminating the Effects of Non-Determinism on Error Propagation Analysis, (Accept: 16.5%)
Habib Saissi, Stefan Winter, Oliver Schwan, Karthik Pattabiraman, and Neeraj Suri |
| SC'19 | BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems, SC Reproducibility Finalist (Accept: 21%)
Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben |
| DSN'18 | Modeling Soft-Error Propagation in Programs, Best Paper Runner-Up (Accept: 25%)
Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, and Timothy Tsai |
| DSN'18 | Modeling Input-Dependent Error Propagation in Programs, (Accept: 25%)
Guanpeng Li, and Karthik Pattabiraman |
| ICSE'18 | Inferring Hierarchical Motifs from Execution Traces, (Accept: 21%)
Saba Alimadadi, Ali Mesbah, and Karthik Pattabiraman |
| ASE'17 | Detecting Unknown Inconsistencies in Web Applications, (Accept: 21%)
Frolin Ocariza, Karthik Pattabiraman, and Ali Mesbah |
| SC'17 | Understanding Error Propagation in Deep Learning Neural Networks (DNN) Accelerators and Applications, IEEE TPTR 2023 (Accept: 19%)
Guanpeng Li, Siva Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Stephen Keckler |
| FSE'17 | ARTINALI: Dynamic Invariant Detection for Cyber-Physical System Security, (Accept: 24%)
Maryam Raiyat Aliabadi, Amita Kamath, Julien Samson, and Karthik Pattabiraman |
| HPDC'17 | LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures, (Accept: 19%)
Bo Fang, Qiang Guan, Nathan Debardeleben, Karthik Pattabiraman, and Matei Ripeanu |
| DSN'17 | One Bit is (Not) Enough: An Empirical Study of the Impact of Single Bit and Multiple Bit-Flip Errors, (Accept: 23%)
Behrooz Sangchoolie, Karthik Pattabiraman and Johan Karlsson |
| SC'16 | Understanding Error Propagation in GPGPU Applications, (Accept: 18%)
Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher and Pradip Bose |
| DSN'16 | ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis, (Accept: 21%)
Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi |
| ICSE'16 | Understanding Asynchronous Interactions in Full-Stack JavaScript, (Accept: 19%)
Saba Alimadadi, Ali Mesbah and Karthik Pattabiraman |
| ASE'15 | Synthesizing Web Element Locators, (Accept: 20.8%)
Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah |
| DSN'15 | Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs, (Accept: 22%)
Guanpeng Li, Qining Lu and Karthik Pattabiraman |
| ICSE'15 | Finding Inconsistencies in JavaScript MVC Applications, (Accept: 18.5%)
Frolin Ocariza, Karthik Pattabiraman and Ali Mesbah |
| DSN'14 | Integrated Hardware-Software Diagnosis for Intermittent Hardware Faults, (Accept: 30%)
Majid Dadashi, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan |
| DSN'14 | Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults, (Accept: 30%)
Jiesheng Wei, Anna Thomas, Guanpeng Li, and Karthik Pattabiraman |
| ICSE'14 | Vejovis: Suggesting Fixes for JavaScript Faults, (Accept: 20%)
Frolin S. Ocariza, Karthik Pattabiraman and Ali Mesbah |
| ICSE'14 | Understanding JavaScript Event-Based Interactions, ACM SIGSOFT Distinguished Paper Award (Accept: 20%)
Saba Alimadi, Sheldon Sequira, Ali Mesbah and Karthik Pattabiraman |
| ASE'14 | Dompletion: DOM-Aware Code Completion, (Accept: 20%)
Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah |
| DSN'13 | Error Detector Placement for Soft Computation, (Accept: 20%)
Anna Thomas and Karthik Pattabiraman |
| DSN'12 | BLOCKWATCH: Leveraging Similarity in Parallel Programs for Error Detection, (Accept: 17%)
Jiesheng Wei and Karthik Pattabiraman |
| ASPLOS'11 | Flikker: Saving DRAM Refresh-power through Critical Data Partitioning, Jean-Claude Laprie Award 2025 (Accept: 20%)
Song Liu, Karthik Pattabiraman, Thomas Moscibroda and Benjamin Zorn |