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Catch Me if You Can: Detecting Unauthorized Data Use in Deep Learning Models
[paper]
Zitao Chen, Karthik Pattabiraman
[Preprint'24]
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
[paper]
[code]
Zitao Chen, Karthik Pattabiraman
[NDSS'25] To appear in The ISOC Network and Distributed Systems Security Symposium (Acceptance rate: TBD)
Artifact Available, Functional and Reproduced
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
[paper]
[slide]
[code]
Zitao Chen, Karthik Pattabiraman
[NDSS'24] The ISOC Network and Distributed Systems Security Symposium (Acceptance rate: 15%)
Artifact Available, Functional and Reproduced
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks
on Deep Neural Networks
[paper]
[slide]
[code]
Zitao Chen, Pritam Dash, Karthik Pattabiraman
[AisaCCS'23] Proceedings of the 18th ACM ASIA Conference on Computer and Communications Security (Acceptance rate: 16%)
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
[paper]
[slide]
[code]
Zitao Chen, Guanpeng Li, Karthik Pattabiraman
[DSN'21] The 51st IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance rate: 16.3%)
Best Paper Award Runner-Up (2 out of 295 submissions)
Adopted by Intel OpenVINO [details]
IEEE Top Picks in Test and Reliability
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications
[paper]
[slide]
[code]
Zitao Chen*, Niranjhana Narayanan*, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
[ISSRE'20] The 31st International Symposium on Software Reliability Engineering (Acceptance rate: 25.7%)
BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems
[paper]
[slide]
[code]
Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
[SC'19] International Conference for High Performance Computing, Networking, Storage, and Analysi (Acceptance rate: 20.9%)
Finalist for the SC reproducibility challenge (one of three papers)
PID-Piper: Recovering Robotic Vehicles from Physical Attacks
[paper]
[slide]
[code]
Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman
[DSN'21] The 51st IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance rate: 16.3%)
Best Paper Award (1 out of 295 submissions)
Fault Injection for TensorFlow Applications
[paper]
[code]
Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
[TDSC] IEEE Transactions on Dependable and Secure Computing
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