Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Nasr, Milad, Songi, Shuang, Thakurta, Abhradeep, Papernot, Nicolas, Carlin, Nicholas
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
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Conference Proceeding
Subtle adversarial image manipulations influence both human and machine perception
Veerabadran, Vijay, Goldman, Josh, Shankar, Shreya, Cheung, Brian, Papernot, Nicolas, Kurakin, Alexey, Goodfellow, Ian, Shlens, Jonathon, Sohl-Dickstein, Jascha, Mozer, Michael C., Elsayed, Gamaleldin F.
Published in Nature communications (15.08.2023)
Published in Nature communications (15.08.2023)
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Journal Article
Author Correction: Subtle adversarial image manipulations influence both human and machine perception
Veerabadran, Vijay, Goldman, Josh, Shankar, Shreya, Cheung, Brian, Papernot, Nicolas, Kurakin, Alexey, Goodfellow, Ian, Shlens, Jonathon, Sohl-Dickstein, Jascha, Mozer, Michael C., Elsayed, Gamaleldin F.
Published in Nature communications (16.01.2024)
Published in Nature communications (16.01.2024)
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Journal Article
SoK: Security and Privacy in Machine Learning
Papernot, Nicolas, McDaniel, Patrick, Sinha, Arunesh, Wellman, Michael P.
Published in 2018 IEEE European Symposium on Security and Privacy (EuroS&P) (01.04.2018)
Published in 2018 IEEE European Symposium on Security and Privacy (EuroS&P) (01.04.2018)
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Conference Proceeding
The Limitations of Deep Learning in Adversarial Settings
Papernot, Nicolas, McDaniel, Patrick, Jha, Somesh, Fredrikson, Matt, Celik, Z. Berkay, Swami, Ananthram
Published in 2016 IEEE European Symposium on Security and Privacy (EuroS and P) (01.03.2016)
Published in 2016 IEEE European Symposium on Security and Privacy (EuroS and P) (01.03.2016)
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Conference Proceeding
Journal Article
Bad Characters: Imperceptible NLP Attacks
Boucher, Nicholas, Shumailov, Ilia, Anderson, Ross, Papernot, Nicolas
Published in 2022 IEEE Symposium on Security and Privacy (SP) (01.05.2022)
Published in 2022 IEEE Symposium on Security and Privacy (SP) (01.05.2022)
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Conference Proceeding
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Abdullah, Hadi, Warren, Kevin, Bindschaedler, Vincent, Papernot, Nicolas, Traynor, Patrick
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
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Conference Proceeding
Crafting adversarial input sequences for recurrent neural networks
Papernot, Nicolas, McDaniel, Patrick, Swami, Ananthram, Harang, Richard
Published in MILCOM 2016 - 2016 IEEE Military Communications Conference (01.11.2016)
Published in MILCOM 2016 - 2016 IEEE Military Communications Conference (01.11.2016)
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Conference Proceeding
AI models collapse when trained on recursively generated data
Shumailov, Ilia, Shumaylov, Zakhar, Zhao, Yiren, Papernot, Nicolas, Anderson, Ross, Gal, Yarin
Published in Nature (London) (25.07.2024)
Published in Nature (London) (25.07.2024)
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Journal Article
Losing Less: A Loss for Differentially Private Deep Learning
Shahin Shamsabadi, Ali, Papernot, Nicolas
Published in Proceedings on Privacy Enhancing Technologies (01.07.2023)
Published in Proceedings on Privacy Enhancing Technologies (01.07.2023)
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Journal Article
Data-Free Model Extraction
Truong, Jean-Baptiste, Maini, Pratyush, Walls, Robert J., Papernot, Nicolas
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
Machine Unlearning
Bourtoule, Lucas, Chandrasekaran, Varun, Choquette-Choo, Christopher A., Jia, Hengrui, Travers, Adelin, Zhang, Baiwu, Lie, David, Papernot, Nicolas
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
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Conference Proceeding
Adversarial examples for network intrusion detection systems
Sheatsley, Ryan, Papernot, Nicolas, Weisman, Michael J., Verma, Gunjan, McDaniel, Patrick
Published in Journal of computer security (01.01.2022)
Published in Journal of computer security (01.01.2022)
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Journal Article
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
Papernot, Nicolas, McDaniel, Patrick, Xi Wu, Jha, Somesh, Swami, Ananthram
Published in 2016 IEEE Symposium on Security and Privacy (SP) (01.05.2016)
Published in 2016 IEEE Symposium on Security and Privacy (SP) (01.05.2016)
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Conference Proceeding
Journal Article
Proof-of-Learning: Definitions and Practice
Jia, Hengrui, Yaghini, Mohammad, Choquette-Choo, Christopher A., Dullerud, Natalie, Thudi, Anvith, Chandrasekaran, Varun, Papernot, Nicolas
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
Published in 2021 IEEE Symposium on Security and Privacy (SP) (01.05.2021)
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Conference Proceeding
Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data
Fang, Congyu, Dziedzic, Adam, Zhang, Lin, Oliva, Laura, Verma, Amol, Razak, Fahad, Papernot, Nicolas, Wang, Bo
Published in EBioMedicine (01.03.2024)
Published in EBioMedicine (01.03.2024)
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Journal Article
Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital dataResearch in context
Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol Verma, Fahad Razak, Nicolas Papernot, Bo Wang
Published in EBioMedicine (01.03.2024)
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Published in EBioMedicine (01.03.2024)
Journal Article
Architectural Backdoors in Neural Networks
Bober-Irizar, Mikel, Shumailov, Ilia, Zhao, Yiren, Mullins, Robert, Papernot, Nicolas
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2023)
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2023)
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Conference Proceeding
Differentially Private Speaker Anonymization
Shahin Shamsabadi, Ali, Mohan Lal Srivastava, Brij, Bellet, Aurélien, Vauquier, Nathalie, Vincent, Emmanuel, Maouche, Mohamed, Tommasi, Marc, Papernot, Nicolas
Published in Proceedings on Privacy Enhancing Technologies (01.01.2023)
Published in Proceedings on Privacy Enhancing Technologies (01.01.2023)
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Journal Article