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Vitaly Shmatikov
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Publications
- 2021
- [c89]Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov:
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. USENIX Security Symposium 2021: 1559-1575 - 2020
- [c87]Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. EMNLP (1) 2020: 4198-4210 - [c86]Congzheng Song, Vitaly Shmatikov:
Overlearning Reveals Sensitive Attributes. ICLR 2020 - [i24]Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov:
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. CoRR abs/2007.02220 (2020) - [i23]Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. CoRR abs/2011.04743 (2020) - 2019
- [c83]Congzheng Song, Vitaly Shmatikov:
Auditing Data Provenance in Text-Generation Models. KDD 2019: 196-206 - [c81]Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov:
Exploiting Unintended Feature Leakage in Collaborative Learning. IEEE Symposium on Security and Privacy 2019: 691-706 - [i22]Congzheng Song, Vitaly Shmatikov:
Overlearning Reveals Sensitive Attributes. CoRR abs/1905.11742 (2019) - 2018
- [i20]Congzheng Song, Vitaly Shmatikov:
Fooling OCR Systems with Adversarial Text Images. CoRR abs/1802.05385 (2018) - [i19]Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel:
Chiron: Privacy-preserving Machine Learning as a Service. CoRR abs/1803.05961 (2018) - [i18]Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov:
Inference Attacks Against Collaborative Learning. CoRR abs/1805.04049 (2018) - [i16]Congzheng Song, Vitaly Shmatikov:
The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model. CoRR abs/1811.00513 (2018) - 2017
- [c79]Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov:
Machine Learning Models that Remember Too Much. CCS 2017: 587-601 - [c76]Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov:
Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and Privacy 2017: 3-18 - [i15]Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov:
Machine Learning Models that Remember Too Much. CoRR abs/1709.07886 (2017)
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