Towards Scalable and Robust Model Versioning
Ding, Wenxin, Bhagoji, Arjun Nitin, Zhao, Ben Y., Zheng, Haitao
Published in 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) (09.04.2024)
Published in 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) (09.04.2024)
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Conference Proceeding
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies
Schaffner, Brennan, Arjun, Nitin Bhagoji, Cheng, Siyuan, Mei, Jacqueline, Shen, Jay L, Wang, Grace, Chetty, Marshini, Feamster, Nick, Lakier, Genevieve, Tan, Chenhao
Published in arXiv.org (08.05.2024)
Published in arXiv.org (08.05.2024)
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Paper
Journal Article
Backdoor Attacks Against Deep Learning Systems in the Physical World
Wenger, Emily, Passananti, Josephine, Bhagoji, Arjun Nitin, Yao, Yuanshun, Zheng, Haitao, Zhao, Ben Y.
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2021)
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2021)
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Conference Proceeding
Enhancing robustness of machine learning systems via data transformations
Bhagoji, Arjun Nitin, Cullina, Daniel, Sitawarin, Chawin, Mittal, Prateek
Published in 2018 52nd Annual Conference on Information Sciences and Systems (CISS) (01.03.2018)
Published in 2018 52nd Annual Conference on Information Sciences and Systems (CISS) (01.03.2018)
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Conference Proceeding
MYCROFT: Towards Effective and Efficient External Data Augmentation
Sarwar, Zain, Tran, Van, Bhagoji, Arjun Nitin, Feamster, Nick, Zhao, Ben Y, Chakraborty, Supriyo
Year of Publication 10.10.2024
Year of Publication 10.10.2024
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Journal Article
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
Jiang, Xi, Liu, Shinan, Gember-Jacobson, Aaron, Bhagoji, Arjun Nitin, Schmitt, Paul, Bronzino, Francesco, Feamster, Nick
Year of Publication 12.10.2023
Year of Publication 12.10.2023
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Journal Article
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
Dai, Sihui, Ding, Wenxin, Bhagoji, Arjun Nitin, Cullina, Daniel, Zhao, Ben Y, Zheng, Haitao, Mittal, Prateek
Year of Publication 21.02.2023
Year of Publication 21.02.2023
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Journal Article
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Bhagoji, Arjun Nitin, Cullina, Daniel, Sehwag, Vikash, Mittal, Prateek
Year of Publication 16.04.2021
Year of Publication 16.04.2021
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Journal Article
Natural Backdoor Datasets
Wenger, Emily, Bhattacharjee, Roma, Bhagoji, Arjun Nitin, Passananti, Josephine, Andere, Emilio, Zheng, Haitao, Zhao, Ben Y
Year of Publication 21.06.2022
Year of Publication 21.06.2022
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Journal Article
Understanding Robust Learning through the Lens of Representation Similarities
Cianfarani, Christian, Bhagoji, Arjun Nitin, Sehwag, Vikash, Zhao, Ben Y, Mittal, Prateek, Zheng, Haitao
Year of Publication 20.06.2022
Year of Publication 20.06.2022
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Journal Article
On the Permanence of Backdoors in Evolving Models
Li, Huiying, Bhagoji, Arjun Nitin, Chen, Yuxin, Zheng, Haitao, Zhao, Ben Y
Year of Publication 07.06.2022
Year of Publication 07.06.2022
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Journal Article
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
Brown, Jacob, Jiang, Xi, Tran, Van, Bhagoji, Arjun Nitin, Hoang, Nguyen Phong, Feamster, Nick, Mittal, Prateek, Yegneswaran, Vinod
Year of Publication 03.02.2023
Year of Publication 03.02.2023
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Journal Article