Arjun Bhagoji
University of Chicago
H-index: 15
North America-United States
Top articles of Arjun Bhagoji
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Assessing vulnerabilities and securing federated learning | Supriyo Chakraborty Arjun Bhagoji | 2024/1/1 | |
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation | Proceedings of the ACM on Measurement and Analysis of Computing Systems | Xi Jiang Shinan Liu Aaron Gember-Jacobson Arjun Nitin Bhagoji Paul Schmitt | 2024/2/21 |
Characterizing the Optimal Loss for Multi-class Classification with a Test-time Attacker | Advances in Neural Information Processing Systems | Sihui Dai Wenxin Ding Arjun Nitin Bhagoji Daniel Cullina Heather Zheng | 2024/2/13 |
Towards Scalable and Robust Model Versioning | arXiv preprint arXiv:2401.09574 | Wenxin Ding Arjun Nitin Bhagoji Ben Y Zhao Haitao Zheng | 2024/1/17 |
LEAF: Navigating Concept Drift in Cellular Networks | Proceedings of the ACM on Networking | Shinan Liu Francesco Bronzino Paul Schmitt Arjun Nitin Bhagoji Nick Feamster | 2023/9/28 |
A Theoretical Perspective on the Robustness of Feature Extractors | Arjun Nitin Bhagoji Daniel Cullina Ben Y Zhao | 2023/8/7 | |
Augmenting rule-based dns censorship detection at scale with machine learning | Jacob Brown Xi Jiang Van Tran Arjun Nitin Bhagoji Nguyen Phong Hoang | 2023/8/6 | |
On the Permanence of Backdoors in Evolving Models | arXiv preprint arXiv:2206.04677 | Huiying Li Arjun Nitin Bhagoji Yuxin Chen Haitao Zheng Ben Y Zhao | 2022/6/8 |
Sparsefed: Mitigating model poisoning attacks in federated learning with sparsification | Ashwinee Panda Saeed Mahloujifar Arjun Nitin Bhagoji Supriyo Chakraborty Prateek Mittal | 2022/5/3 | |
Finding Naturally Occurring Physical Backdoors in Image Datasets | Emily Wenger Roma Bhattacharjee Arjun Nitin Bhagoji Josephine Passananti Emilio Andere | 2022 | |
Poison forensics: Traceback of data poisoning attacks in neural networks | Shawn Shan Arjun Nitin Bhagoji Haitao Zheng Ben Y Zhao | 2022/8 | |
Understanding robust learning through the lens of representation similarities | Christian Cianfarani Arjun Nitin Bhagoji Vikash Sehwag Ben Zhao Prateek Mittal | 2022/6/20 | |
Lower bounds on cross-entropy loss in the presence of test-time adversaries | Arjun Nitin Bhagoji Daniel Cullina Vikash Sehwag Prateek Mittal | 2021/7/1 | |
Advances and open problems in federated learning | Foundations and trends® in machine learning | Peter Kairouz H Brendan McMahan Brendan Avent Aurélien Bellet Mehdi Bennis | 2021/6/22 |
{PatchGuard}: A provably robust defense against adversarial patches via small receptive fields and masking | Chong Xiang Arjun Nitin Bhagoji Vikash Sehwag Prateek Mittal | 2021 | |
Patch-based defenses against web fingerprinting attacks | Shawn Shan Arjun Nitin Bhagoji Haitao Zheng Ben Y Zhao | 2021/11/15 | |
A critical evaluation of open-world machine learning | arXiv preprint arXiv:2007.04391 | Liwei Song Vikash Sehwag Arjun Nitin Bhagoji Prateek Mittal | 2020/7/8 |
The Role of Data Geometry in Adversarial Machine Learning | Arjun Nitin Bhagoji | 2020 |
Co-Authors
