| Detecting adversarial samples from artifacts R Feinman, RR Curtin, S Shintre, AB Gardner arXiv preprint arXiv:1703.00410, 2017 | 1109 | 2017 |
| {SEAL}: Attack mitigation for encrypted databases via adjustable leakage I Demertzis, D Papadopoulos, C Papamanthou, S Shintre 29th USENIX security symposium (USENIX Security 20), 2433-2450, 2020 | 103 | 2020 |
| Examining the adoption and abandonment of security, privacy, and identity theft protection practices Y Zou, K Roundy, A Tamersoy, S Shintre, J Roturier, F Schaub Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 95 | 2020 |
| Malware makeover: Breaking ml-based static analysis by modifying executable bytes K Lucas, M Sharif, L Bauer, MK Reiter, S Shintre Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021 | 86 | 2021 |
| Security for IoT home voice assistants SK Nanda, Y Sun, S Shintre US Patent 10,887,351, 2021 | 53 | 2021 |
| " Real" and" complex" network codes: promises and challenges S Shintre, S Katti, S Jaggi, BK Dey, D Katabi, M Medard 2008 Fourth Workshop on Network Coding, Theory and Applications, 1-6, 2008 | 40 | 2008 |
| Systems and methods for protecting computing resources S Shintre, A Parker-Wood US Patent 10,015,182, 2018 | 37 | 2018 |
| How feasible is network coding in current satellite systems? F Vieira, S Shintre, J Barros 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th …, 2010 | 37 | 2010 |
| Detecting adversarial samples from artifacts. arXiv 2017 R Feinman, RR Curtin, S Shintre, AB Gardner arXiv preprint arXiv:1703.00410, 0 | 35 | |
| Real network codes S Katti, S Shintre, S Jaggi, D Katabi, M Medard Proc. Forty-Fifth Annual Allerton Conference, 389-395, 2007 | 32 | 2007 |
| Making machine learning forget S Shintre, KA Roundy, J Dhaliwal Privacy Technologies and Policy: 7th Annual Privacy Forum, APF 2019, Rome …, 2019 | 26 | 2019 |
| Probabilistic key distribution in vehicular networks with infrastructure support J Almeida, S Shintre, M Boban, J Barros 2012 IEEE Global Communications Conference (GLOBECOM), 973-978, 2012 | 25 | 2012 |
| Optimization-guided binary diversification to mislead neural networks for malware detection M Sharif, K Lucas, L Bauer, MK Reiter, S Shintre arXiv e-prints, arXiv: 1912.09064, 2019 | 16 | 2019 |
| Verifying that the influence of a user data point has been removed from a machine learning classifier S Shintre, J Dhaliwal US Patent 10,225,277, 2019 | 16 | 2019 |
| Gradient similarity: An explainable approach to detect adversarial attacks against deep learning J Dhaliwal, S Shintre arXiv preprint arXiv:1806.10707, 2018 | 16 | 2018 |
| Decrypting network traffic on a middlebox device using a trusted execution environment Y Sun, D Marino, SK Nanda, S Shintre, BT Witten, RA Frederick, Q Li US Patent 10,447,663, 2019 | 13 | 2019 |
| Probabilistic key distribution in vehicular networks with infrastructure support JFCDO Barros, JPP De Almeida, M Boban, S Shintre US Patent 9,276,743, 2016 | 10 | 2016 |
| Machine learning adversarial campaign mitigation on a computing device J Echauz, AB Gardner, JK Kenemer, J Dhaliwal, S Shintre US Patent 11,551,137, 2023 | 9 | 2023 |
| Systems and methods for detecting anomalous behavior in shared data repositories A Kayyoor, S Bhatkar, S Shintre US Patent 10,425,435, 2019 | 8 | 2019 |
| Automatically detecting insider threats using user collaboration patterns S Bhatkar, S Shintre, A Kayyoor US Patent 10,341,373, 2019 | 8 | 2019 |
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