Articles with public access mandates - Nicolas PapernotLearn more
Available somewhere: 40
Practical black-box attacks against machine learning
N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami
Proceedings of the 2017 ACM on Asia conference on computer and …, 2017
Mandates: US Department of Defense
SoK: Towards the Science of Security and Privacy in Machine Learning
N Papernot, P McDaniel, A Sinha, MP Wellman
2018 IEEE European Symposium on Security and Privacy (EuroS&P), 2018
Mandates: US Department of Defense
Adversarial examples for malware detection
K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
Mandates: US Department of Defense, European Commission, Federal Ministry of Education …
Machine unlearning
L Bourtoule, V Chandrasekaran, C Choquette-Choo, H Jia, A Travers, ...
42nd IEEE Symposium on Security and Privacy, 2019
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
Making machine learning robust against adversarial inputs
I Goodfellow, P McDaniel, N Papernot
Communications of the ACM 61 (7), 56-66, 2018
Mandates: US Department of Defense
Label-Only Membership Inference Attacks
CA Choquette Choo, F Tramer, N Carlini, N Papernot
38th International Conference on Machine Learning, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Entangled watermarks as a defense against model extraction
H Jia, CA Choquette-Choo, N Papernot
30th USENIX Security Symposium, 2020
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Data-Free Model Extraction
JB Truong, P Maini, R Walls, N Papernot
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Extending defensive distillation
N Papernot, P McDaniel
arXiv preprint arXiv:1705.05264, 2017
Mandates: US Department of Defense
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
H Abdullah, K Warren, V Bindschaedler, N Papernot, P Traynor
42nd IEEE Symposium on Security and Privacy, 2020
Mandates: US National Science Foundation, US Department of Defense, Natural Sciences …
Fundamental tradeoffs between invariance and sensitivity to adversarial perturbations
F Tramèr, J Behrmann, N Carlini, N Papernot, JH Jacobsen
37th International Conference on Machine Learning, 2020
Mandates: Swiss National Science Foundation
Bad characters: Imperceptible nlp attacks
N Boucher, I Shumailov, R Anderson, N Papernot
43rd IEEE Symposium on Security and Privacy, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Sponge examples: Energy-latency attacks on neural networks
I Shumailov, Y Zhao, D Bates, N Papernot, R Mullins, R Anderson
6th IEEE European Symposium on Security and Privacy, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, UK Engineering …
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
A Thudi, H Jia, I Shumailov, N Papernot
31st USENIX Security Symposium, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Unrolling sgd: Understanding factors influencing machine unlearning
A Thudi, G Deza, V Chandrasekaran, N Papernot
7th IEEE European Symposium on Security and Privacy, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
When the curious abandon honesty: Federated learning is not private
F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ...
8th IEEE European Symposium on Security and Privacy, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Proof-of-Learning: Definitions and Practice
H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ...
42nd IEEE Symposium on Security and Privacy, 2021
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
Manipulating SGD with data ordering attacks
I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ...
35th Conference on Neural Information Processing Systems, 2021
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
Mandates: US Office of the Director of National Intelligence, German Research …
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs
A Boutros, M Hall, N Papernot, V Betz
2020 International Conference on Field-Programmable Technology, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
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