| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021 | 6829 | 2021 |
| Analyzing federated learning through an adversarial lens AN Bhagoji, S Chakraborty, P Mittal, S Calo International conference on machine learning, 634-643, 2019 | 1360 | 2019 |
| Robustbench: a standardized adversarial robustness benchmark F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ... arXiv preprint arXiv:2010.09670, 2020 | 772 | 2020 |
| Sybilinfer: Detecting sybil nodes using social networks. G Danezis, P Mittal Ndss 9, 1-15, 2009 | 627 | 2009 |
| EASiER: Encryption-based access control in social networks with efficient revocation S Jahid, P Mittal, N Borisov Proceedings of the 6th ACM Symposium on Information, Computer and …, 2011 | 595 | 2011 |
| Rocking drones with intentional sound noise on gyroscopic sensors Y Son, H Shin, D Kim, Y Park, J Noh, K Choi, J Choi, Y Kim 24th USENIX Security Symposium (USENIX Security 15), 881-896, 2015 | 475 | 2015 |
| Rocking drones with intentional sound noise on gyroscopic sensors Y Son, H Shin, D Kim, Y Park, J Noh, K Choi, J Choi, Y Kim 24th USENIX Security Symposium (USENIX Security 15), 881-896, 2015 | 475 | 2015 |
| {BlackIoT}:{IoT} botnet of high wattage devices can disrupt the power grid S Soltan, P Mittal, HV Poor 27th USENIX Security Symposium (USENIX Security 18), 15-32, 2018 | 441 | 2018 |
| Systematic evaluation of privacy risks of machine learning models L Song, P Mittal 30th USENIX Security Symposium (USENIX Security 21), 2615-2632, 2021 | 396 | 2021 |
| Fine-tuning aligned language models compromises safety, even when users do not intend to! X Qi, Y Zeng, T Xie, PY Chen, R Jia, P Mittal, P Henderson arXiv preprint arXiv:2310.03693, 2023 | 384 | 2023 |
| Ssd: A unified framework for self-supervised outlier detection V Sehwag, M Chiang, P Mittal arXiv preprint arXiv:2103.12051, 2021 | 369 | 2021 |
| {BotGrep}: Finding {P2P} Bots with Structured Graph Analysis S Nagaraja, P Mittal, CY Hong, M Caesar, N Borisov 19th USENIX Security Symposium (USENIX Security 10), 2010 | 358 | 2010 |
| Falcon: Honest-majority maliciously secure framework for private deep learning S Wagh, S Tople, F Benhamouda, E Kushilevitz, P Mittal, T Rabin arXiv preprint arXiv:2004.02229, 2020 | 312 | 2020 |
| Darts: Deceiving autonomous cars with toxic signs C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal arXiv preprint arXiv:1802.06430, 2018 | 308 | 2018 |
| {RAPTOR}: Routing attacks on privacy in tor Y Sun, A Edmundson, L Vanbever, O Li, J Rexford, M Chiang, P Mittal 24th USENIX Security Symposium (USENIX Security 15), 271-286, 2015 | 302 | 2015 |
| Privacy risks of securing machine learning models against adversarial examples L Song, R Shokri, P Mittal Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 291 | 2019 |
| Evolution of social-attribute networks: measurements, modeling, and implications using google+ NZ Gong, W Xu, L Huang, P Mittal, E Stefanov, V Sekar, D Song Proceedings of the 2012 internet measurement conference, 131-144, 2012 | 274 | 2012 |
| Dependence makes you vulnberable: Differential privacy under dependent tuples. C Liu, S Chakraborty, P Mittal NDSS 16, 21-24, 2016 | 271 | 2016 |
| Enhancing robustness of machine learning systems via data transformations AN Bhagoji, D Cullina, C Sitawarin, P Mittal 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-5, 2018 | 259 | 2018 |
| Denial of service or denial of security? N Borisov, G Danezis, P Mittal, P Tabriz Proceedings of the 14th ACM conference on Computer and communications …, 2007 | 255 | 2007 |
Arjun BhagojiResearch Scientist, University of Chicago在 uchicago.edu 的电子邮件经过验证
