Arjun Nitin Bhagoji
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
12
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch. | Prarabdh Shukla, Wei Yin Chong, Yash Patel, Brennan Schaffner, Danish Pruthi, Arjun Nitin Bhagoji |
| 2025 | ICML | Adapting to Evolving Adversaries with Regularized Continual Robust Training. | Sihui Dai, Christian Cianfarani, Vikash Sehwag, Prateek Mittal, Arjun Nitin Bhagoji |
| 2024 | CHI | "Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies. | Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan |
| 2024 | SIGMETRICS | NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. | Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster |
| 2023 | KDD | Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. | Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran |
| 2022 | AISTATS | SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. | Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal |
| 2021 | CCS | Patch-based Defenses against Web Fingerprinting Attacks. | Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao |
| 2021 | CVPR | Backdoor Attacks Against Deep Learning Systems in the Physical World. | Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao |
| 2021 | ICML | Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. | Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal |
| 2019 | CCS | Analyzing the Robustness of Open-World Machine Learning. | Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal |
| 2019 | ICML | Analyzing Federated Learning through an Adversarial Lens. | Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo |
| 2018 | CCS | Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints. | Vikash Sehwag, Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal |
| 2018 | CISS | Enhancing robustness of machine learning systems via data transformations. | Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal |
| 2018 | ECCV | Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms. | Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song |
| 2018 | ICLR | Black-box Attacks on Deep Neural Networks via Gradient Estimation. | Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song |
| 2015 | ISIT | Equivalence of 2D color codes (without translational symmetry) to surface codes. | Arjun Nitin Bhagoji, Pradeep Kiran Sarvepalli |