All Papers (from 2010)

For a list of papers prior to 2010, go here.

SPE	ThingsMigrate: Platform Independent Migration of Stateful JavaScript Applications, Kumseok Jung, Julien Gascon-Samson, Shivanshu Goyal, Armin Rezalean-Asel, Karthik Pattabiraman.
TDSC	An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors in Programs, Behrooz Sangchoolie, Karthik Pattabiraman and Johan Karlsson.
DTRAP	Stealthy Attacks Against Robotic Vehicles Protected by Control-Based Intrusion Detection Techniques, Pritam Dash, Mehdi Karimibuiki, and Karthik Pattabiraman.
TDSC	Improving the accuracy of IR-level Fault Injection, Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman, 2020.
TECS	Design-level and Code-level Security Analysis of IoT Devices, Farid Molazem Tabrizi and Karthik Pattabiraman. 2019. (Best paper award for 2020)
TECS	Configurable Detection of SDC-Causing Errors in Programs, Qining Lu, Guanpeng Li, Karthik Pattabiraman, Meeta Gupta and Jude Rivers. 2017.
TSE	A Study of Causes and Consequences of Client-Side JavaScript Bugs, Frolin Ocariza, Kartik Bajaj, Ali Mesbah and Karthik Pattabiraman. 2017.
TPDS	A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications, Bo Fang, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi. 2016.
TOSEM	Understanding JavaScript Event-based Interactions with Clematis, Saba Alimadadi, Ali Mesbah and Karthik Pattabiraman. 2016.
TECS	Error Detector Placement for Soft Computing Applications, Anna Thomas and Karthik Pattabiraman. 2016.
STVR	Automatic Fault Localization for Client-Side JavaScript, Frolin Ocariza, Karthik Pattabiraman and Ali Mesbah. 2016.
TSE	Guided Mutation Testing for JavaScript Web Applications, Shabnam Mirshokraie, Ali Mesbah and Karthik Pattabiraman. 2015.
TR	Characterizing the Impact of Intermittent Hardware Faults on Programs, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan. 2015.
JCS	Modular Protections against Non-control Data Attacks, Cole Schlesinger, Karthik Pattabiraman, Nikhil Swamy, David Walker, and Benjamin Zorn, 2014.
TC	SymPLFIED: Symbolic Program Level Fault Injection and Error Detection Framework, Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalbarczyk and Ravishankar Iyer, 2013.
TC	Efficient Runtime Detection and Toleration of Asymmetric Races, Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin Zorn, Rahul Nagpal, Karthik Pattabiraman, 2012
TDSC	Automated Derivation of Application-aware Error Detectors using Dynamic Analysis, Karthik Pattabiraman, Giacinto Paulo Saggese, Daniel Chen, Zbigniew Kalbarczyk and Ravishankar Iyer, 2011.
TDSC	Automated Derivation of Application-aware Error Detectors using Static Analysis, Karthik Pattabiraman, Zbigniew Kalbarczyk and Ravishankar Iyer, 2011.

Refereed Conferences (total = 58)

ISSRE’20	TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications, Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben. (Acceptance Rate: 26%)
ISSRE’20	How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method, Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, and Ying Li. (Acceptance Rate: 26%)
SC’20	GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs, Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari. (Acceptance Rate: 25.1%)
ISSTA’20	How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection, Asem Ghaleb and Karthik Pattabiraman. (Acceptance Rate: 26%)
DSN’20	Trace Sanitizer: Eliminating the Effects of Non-Determinism on Error Propagation Analysis, Habib Saissi, Stefan Winter, Oliver Schwan, Karthik Pattabiraman, and Neeraj Suri. (Acceptance Rate: 16.5%)
ACSAC’19	Out of Control: Stealthy Attacks on Robotic Vehicles Protected by Control-Based Techniques, Pritam Dash, Mehdi Karimibuiki, and Karthik Pattabiraman. (Acceptance Rate: 23%)
ISSRE’19	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. (Acceptance Rate: 31.5%).
SC’19	BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems, Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben. (Acceptance Rate: 21%). Reproducibility Initiative Finalist (1 of 3)
ICS’19	BonVoision: Leveraging Spatial Data Smoothness for Recovery from Memory Soft Errors, Bo Fang, Karthik Pattabiraman, Matei Ripeanu and Sriram Krishnamoorthy (Acceptance Rate: 23.2%)
SAC’19	Failure Prediction in the Internet of Things due to Memory Exhaustion, Mohammad Rafiuzzaman, Julien Gascon-Samson, Karthik Pattabiraman, and Sathish Gopalakrishnan. (Acceptance Rate: 27.5%)
PRDC’18	DynPolAC: Dynamic Policy-based Access Control for IoT Systems, Mehdi Karimibuiki, Ekta Aggarwal, Karthik Pattabiraman and Andre Ivanov. (Acceptance Rate: 45%)
ECOOP’18	ThingsMigrate: Platform-Independent Migration of Stateful JavaScript IoT Applications, Julien Gascon-Samson, Kumseok Jung, Shivanshu Goyal, Armin Rezalean-Asel, and Karthik Pattabiraman. (Acceptance Rate: 39%)
DSN’18	Modeling Soft-Error Propagation in Programs, Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, and Timothy Tsai. (Acceptance Rate: 25%) Best paper Award Runner Up (one of three papers nominated for the award)
DSN’18	Modeling Input-Dependent Error Propagation in Programs, Guanpeng Li, and Karthik Pattabiraman. (Acceptance Rate: 25%)
ICSE’18	Inferring Hierarchical Motifs from Execution Traces, Saba Alimadadi, Ali Mesbah, and Karthik Pattabiraman. (Acceptance Rate: 21%)
ASE’17	Detecting Unknown Inconsistencies in Web Applications, Frolin Ocariza, Karthik Pattabiraman, and Ali Mesbah. (Acceptance Rate: 21%)
SC’17	Understanding Error Propagation in Deep learning Neural Networks (DNN) Accelerators and Applications, Guanpeng Li, Siva Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Stephen Keckler. (Acceptance Rate: 19%)
FSE’17	ARTINALI: Dynamic Invariant Detection for Cyber-Physical System Security, Maryam Raiyat Aliabadi, Amita Kamath, Julien Samson, and Karthik Pattabiraman. (Acceptance Rate: 24%)
HPDC’17	LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures, Bo Fang, Qiang Guan, Nathan Debardeleben, Karthik Pattabiraman, and Matei Ripeanu. (Acceptance Rate: 19%)
DSN’17	One Bit is (Not) Enough: An Empirical Study of the Impact of Single Bit and Multiple Bit-Flip Errors, Behrooz Sangchoolie, Karthik Pattabiraman and Johan Karlsson. (Acceptance Rate: 23%)
ICST’17	IPA: Error Propagation Analysis of Multi-threaded Programs Using Likely Invariants, Abraham Chan, Stefan Winter, Habib Saissi, Karthik Pattabiraman and Neeraj Suri. (Acceptance Rate: 27%)
ACSAC’16	Formal Security Analysis of Smart Embedded Systems, Farid Molazem Tabrizi and Karthik Pattabiraman. (Acceptance Rate: 23%).
SC’16	Understanding Error Propagation in GPGPU Applications, Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher and Pradip Bose. (Acceptance Rate: 18%)
EDCC’16	Finding Resilience-Friendly Compiler Optimizations Using Meta-Heuristic Search Techniques, Nithya Narayanamurthy, Karthik Pattabiraman, and Matei Ripeanu. (Acceptance Rate: 41%) (Best Paper Award – one of three)
SafeComp’16	FIDL: Fault Injection Description Language for Compiler-Based SFI Tools, Maryam Raiyat Ailabadi and Karthik Pattabiraman. (Acceptance Rate: 34%)
DSN’16	ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis, Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi. (Acceptance Rate: 21%)
ICST’16	Inferring Unit Oracles from GUI Test Cases, Shabnam Mirshokraie, Ali Mesbah and Karthik Pattabiraman. (Acceptance Rate: 27%)
ICSE’16	Understanding Asynchronous Interactions in Full-Stack JavaScript, Saba Alimadadi, Ali Mesbah and Karthik Pattabiraman. (Acceptance Rate: 19%)
ISSRE’15	Experience Report: An Application-specific Checkpointing Technique for Minimizing Checkpoint Corruption, Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher and Pradip Bose. (Acceptance Rate: 32%)
ASE’15	Synthesizing Web Element Locators, Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah. (Acceptance Rate: 20.8%)
EDCC’15	Flexible Intrusion Detection Systems for Memory-Constrained Embedded Systems, Farid Molazem Tabrizi and Karthik Pattabiraman. (Acceptance Rate: 45%). Best Paper Award – one of three.
ECOOP’15	Hybrid DOM-sensitive Change Impact Analysis for JavaScript, Saba Alimadadi, Ali Mesbah and Karthik Pattabiraman. (Acceptance Rate: 22.8%)
DSN’15	Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs, Guanpeng Li, Qining Lu and Karthik Pattabiraman. (Acceptance Rate: 22%)
ICSE’15	Finding Inconsistencies in JavaScript MVC Applications, Frolin Ocariza, Karthik Pattabiraman and Ali Mesbah. (Acceptance Rate: 18.5%)
ICST’15	JSEFT: Automated JavaScript Unit Test Generation, Shabnam Mirshokraie, Ali Mesbah and Karthik Pattabiraman. (Acceptance Rate: 25%)
ISSRE’14	Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study, Xin Chen, Charng-da Lu and Karthik Pattabiraman. (Acceptance Rate: 25%). Chosen as “Highlights of ISSRE” in 2019 – one of 26 papers out of more than 1000.
CASES’14	SDCTune: A Model for Predicting the SDC-Proneness of an Application for Configurable Protection, Qining Lu, Karthik Pattabiraman, Meeta Gupta and Jude Rivers. (Acceptance Rate: 30%).
DSN’14	Integrated Hardware-Software Diagnosis for Intermittent Hardware Faults, Majid Dadashi, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan. (Acceptance Rate: 30%).
DSN’14	Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults, Jiesheng Wei, Anna Thomas, Guanpeng Li, and Karthik Pattabiraman. (Acceptance Rate: 30%).
ICSE’14	Vejovis: Suggesting Fixes for JavaScript Faults, Frolin S. Ocariza, Karthik Pattabiraman and Ali Mesbah. (Acceptance Rate: 20%).
ICSE’14	Understanding JavaScript Event-Based Interactions, Saba Alimadi, Sheldon Sequira, Ali Mesbah and Karthik Pattabiraman (Acceptance Rate: 20%). ACM SIGSOFT Distinguished Paper Award (one of nine papers)
ASE’14	Dompletion: DOM-Aware Code Completion, Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah. (Acceptance Rate: 20%)
MSR’14	Mining Questions Asked by Web Developers, Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah. (Acceptance rate: 34%)
DATE’14	GPGPUs: How to combine high performance with high reliability, L. Bautista Gomez, F. Cappello, L. Carro, N. DeBardeleben, Bo Fang, S. Gurumurthi, Karthik Pattabiraman, P. Rech, M. Sonza Reorda, Embedded Tutorial.
ISPASS’14	GPU-Qin: A Methodology for Evaluating the Error Resilience of GPGPU Applications, Bo Fang, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi. (Acceptance rate: 30%)
HASE’14	A Model-based Intrusion Detection System for Smart Meters, Farid M. Tabrizi and Karthik Pattabiraman. (Acceptance rate: 30%)
ASE’13	PYTHIA: Generating Test Cases with Oracles for JavaScript Applications, Shabnam Mirshokraie, Ali Mesbah and Karthik Pattabiraman. New Ideas Track (Acceptance rate: 23%)
ESEM’13	An Empirical Study of Client-Side JavaScript Bugs, Frolin Ocariza, Kartik Bajaj, Karthik Pattabiraman, and Ali Mesbah. (Acceptance rate: 28%)
DSN’13	Error Detector Placement for Soft Computation, Anna Thomas and Karthik Pattabiraman. (Acceptance rate: 20%)
ICST’13	Efficient JavaScript Mutation Testing, Shabnam Mirshokraie, Ali Mesbah and Karthik Pattabiraman. Best Paper Award Runner Up (Acceptance Rate: 25%).
QEST’12	Intermittent Errors Recovery: Modeling and Evaluation, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan. (Acceptance Rate: Unknown).
DSN’12	BLOCKWATCH: Leveraging Similarity in Parallel Programs for Error Detection, Jiesheng Wei and Karthik Pattabiraman. (Acceptance Rate: 17%).
ICST’12	AutoFlox: An Automatic Fault Localizer For JavaScript, Frolin Ocariza Jr., Karthik Pattabiraman and Ali Mesbah. Best Paper Award Nominee . (Acceptance rate: 27 %).
ISSRE’11	JavaScript Errors in the Wild: An Empirical Study, Frolin Ocariza Jr., Karthik Pattabiraman and Ben Zorn. (Acceptance Rate: 25 %).
CSF’11	Yarra: An Extension to C for Data Integrity and Partial Safety, Cole Schlesinger, Karthik Pattabiraman, Nikhil Swamy, David Walker and Ben Zorn.(Acceptance Rate: 26 %). Forwarded to Journal of Computer Security as one of the best papers at the conference
ASPLOS’11	Flikker: Saving DRAM Refresh-power through Critical Data Partitioning , Song Liu, Karthik Pattabiraman, Thomas Moscibroda and Benjamin Zorn. (Acceptance Rate: 20% )
PRDC’10	Modeling the Propagation of Intermittent Hardware Faults in Programs, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan. (Acceptance Rate: 42 %)
ISSRE’10	DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing, Karthik Pattabiraman and Benjamin Zorn. (Acceptance Rate: 31 %)

Selected Workshops

WoSoCER’20	New Wine in an Old Bottle: N-Version Programming for Machine Learning Components, Arpan Gujarati, Sathish Gopalakrishnan, and Karthik Pattabiraman.
HotEdge’19	OneOS: IoT Platform based on POSIX and Actors, Kumseok Jung, Julien Gascon-Samson, and Karthik Pattabiraman
SELSE’19	Towards analytically evaluating the error resilience of GPU Programs, Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan and Timothy Tsai
CPS-SPC 2018	CORGIDS: A Correlation-based Generic Intrusion Detection System, Ekta Aggarwal, Mehdi Karimibuiki, Karthik Pattabiraman and Andre Ivanov
WoSoCER 2018	TensorFI: A Configurable Fault Injector for TensorFlow Applications, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben
M4IoT 2017	ThingsJS: Towards a Flexible and Self-Adaptable Middleware for Dynamic and Heterogeneous IoT Environments, Julien Gascon-Samson, Mohammad Rafiuzzaman, and Karthik Pattabiraman
RSDA’2016	SDC is in the eye of the beholder: A survey and preliminary study, Bo Fang, Panruo Wu, Qiang Guan, Nathan Debardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, and Matei Ripeanu
Middleware’15-Student forum	Intrusion Detection for Embedded Systems, Farid Molazem and Karthik Pattabiraman
ISSRE’15-Industry Track	FIDL: A Fault Injection Description Language for Compiler-based Tools, Maryam Raiyat Aliabadi, Karthik Pattabiraman, Nematollah Bidokhti
ASE’15-Tools Track	LED: Tool for Synthesizing Web Element Locators, Kartik Bajaj, Karthik Pattabiraman and Ali Mesbah
ISSRE’14-Industry Track	Soft-LLFI: A Comprehensive Framework for Software Fault Injection, Maryam Raiyat Aliabadi, Karthik Pattabiraman, Nematollah Bidokhti
QRS’15	LLFI: An Intermediate Code-Level Fault Injection Tool for Hardware Faults Qining Lu, Mostafa Farahani, Jiesheng Wei, Anna Thomas and Karthik Pattabiraman.
RSDA’14	Failure Prediction of Jobs in Compute Clouds: A Google Cluster Case Study, Xin Chen, Charng-da Lu and Karthik Pattabiraman.
FTXS’14	Evaluating the Error Resilience of Parallel Programs, Bo Fang, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi.
AER’13	Effect of Compiler Optimizations on the Error Resilience of Soft Computing Applications, Anna Thomas, Jacques Clapach and Karthik Pattabiraman.
RSDA’13	Predicting Job Completion Times Using System Logs in Supercomputing Clusters, Xin Chen, Charng-da Lu and Karthik Pattabiraman.
SELSE’13	LLFI: An Intermediate Code Level Fault Injector for Soft Computing Applications, Anna Thomas and Karthik Pattabiraman.
SELSE’13	SCRIBE: A Hardware Infrastructure Enabling Fine-Grained Software Layer Diagnosis, Majid Dadashi, Layali Rashid and Karthik Pattabiraman.
WRA’12	Towards Building Error Resilient GPGPU Applications, Bo Fang, Jiesheng Wei, Karthik Pattabiraman and Matei Ripeanu.
WRAITS’12	A Model for Security Analysis of Smart Meters, Farid M. Tabrizi and Karthik Pattabiraman.
SELSE’12	DIEBA: Diagnosing Intermittent Errors by Backtracing Application Failures, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan
SELSE’12	BlockWatch: Leveraging Similarity in Parallel Programs for Error Detection, Jiesheng Wei and Karthik Pattabiraman.
WDSN’11	Comparing the Effects of Transient and Intermittent Faults on Programs, Jiesheng Wei, Layali Rashid, Sathish Gopalakrishnan and Karthik Pattabiraman.
WDSN’10	Towards Understanding the Effects of Intermittent Hardware Faults on Programs, Layali Rashid, Karthik Pattabiraman and Sathish Gopalakrishnan.
SELSE’10	Formal Diagnosis of Hardware Transient Errors in Programs , Layali Rashid, Karthik Pattabiraman, and Sathish Gopalakrishnan, Workshop on Silicon Errors in Logic, System Effects (SELSE), 2010, Palo Alto, CA.

Patents

Providing Hardware Resources having Different Reliabilities for Use by an Application, with Benjamin Zorn, Thomas Moscibroda and Song Liu, Sep 2011, USA (patent number 20110231601A1).

Leveraging On-Chip Variability, B Zorn, D Kirovski, R Bittner, K Pattabiraman, Dec 2011 (Patent# 20110314210).

Talks

Good Enough Dependability – A Unified Paradigm for Dependable Systems Design(“Rising Star in Dependability Award” at DSN 2020) (Video)

Modeling Hardware Error Propagation in Programs for Low-Cost Dependability

Building Reliable Software for the Web, IoT and Beyond …

Resilience and Security in Cyber-Physical Systems: Self-Driving Cars and Smart Devices
(Video)

Tolerating Hardware Faults in Commodity Software: Problems, Solutions and a Roadmap

Security and Reliability of the Internet of Things: A Smart Meter Case Study

How I learned to Stop Worrying and Love the DOM

Does Error Resilience Matter in the age of Approximate Computing?

Approximate Computing and Error Resilient Systems: Conjoined Twins Separated at Birth?

Tolerating Silent Data Corruption (SDC) causing Hardware Faults Through Software Techniques