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Nils Lukas
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 18
Top Topics
Differentially Private
Set Intersection
Watermarking Scheme
Neural Network
Top Venues
CoRR
EuroS&P
IEEE Symposium on Security and Privacy
USENIX Security Symposium
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Publications
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Nils Lukas
,
Florian Kerschbaum
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification.
CoRR
(2023)
Rasoul Akhavan Mahdavi
,
Nils Lukas
,
Faezeh Ebrahimianghazani
,
Thomas Humphries
,
Bailey Kacsmar
,
John A. Premkumar
,
Xinda Li
,
Simon Oya
,
Ehsan Amjadian
,
Florian Kerschbaum
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting.
CoRR
(2023)
Nils Lukas
,
Florian Kerschbaum
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators.
USENIX Security Symposium
(2023)
Nils Lukas
,
Ahmed Salem
,
Robert Sim
,
Shruti Tople
,
Lukas Wutschitz
,
Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models.
CoRR
(2023)
Abdulrahman Diaa
,
Lucas Fenaux
,
Thomas Humphries
,
Marian Dietz
,
Faezeh Ebrahimianghazani
,
Bailey Kacsmar
,
Xinda Li
,
Nils Lukas
,
Rasoul Akhavan Mahdavi
,
Simon Oya
,
Ehsan Amjadian
,
Florian Kerschbaum
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions.
CoRR
(2023)
Benjamin Schneider
,
Nils Lukas
,
Florian Kerschbaum
Universal Backdoor Attacks.
CoRR
(2023)
Nils Lukas
,
Florian Kerschbaum
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators.
CoRR
(2023)
Nils Lukas
,
Abdulrahman Diaa
,
Lucas Fenaux
,
Florian Kerschbaum
Leveraging Optimization for Adaptive Attacks on Image Watermarks.
CoRR
(2023)
Florian Kerschbaum
,
Nils Lukas
Privacy-Preserving Machine Learning [Cryptography].
IEEE Secur. Priv.
21 (6) (2023)
Nils Lukas
,
Ahmed Salem
,
Robert Sim
,
Shruti Tople
,
Lukas Wutschitz
,
Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models.
SP
(2023)
Nils Lukas
,
Edward Jiang
,
Xinda Li
,
Florian Kerschbaum
SoK: How Robust is Image Classification Deep Neural Network Watermarking?
IEEE Symposium on Security and Privacy
(2022)
Nils Lukas
,
Edward Jiang
,
Xinda Li
,
Florian Kerschbaum
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version).
CoRR
(2021)
Nils Lukas
,
Yuxuan Zhang
,
Florian Kerschbaum
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples.
ICLR
(2021)
Masoumeh Shafieinejad
,
Nils Lukas
,
Jiaqi Wang
,
Xinda Li
,
Florian Kerschbaum
On the Robustness of Backdoor-based Watermarking in Deep Neural Networks.
IH&MMSec
(2021)
Bailey Kacsmar
,
Basit Khurram
,
Nils Lukas
,
Alexander Norton
,
Masoumeh Shafieinejad
,
Zhiwei Shang
,
Yaser Baseri
,
Maryam Sepehri
,
Simon Oya
,
Florian Kerschbaum
Differentially Private Two-Party Set Operations.
EuroS&P
(2020)
Rasoul Akhavan Mahdavi
,
Thomas Humphries
,
Bailey Kacsmar
,
Simeon Krastnikov
,
Nils Lukas
,
John A. Premkumar
,
Masoumeh Shafieinejad
,
Simon Oya
,
Florian Kerschbaum
,
Erik-Oliver Blass
Practical Over-Threshold Multi-Party Private Set Intersection.
ACSAC
(2020)
Masoumeh Shafieinejad
,
Jiaqi Wang
,
Nils Lukas
,
Florian Kerschbaum
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks.
CoRR
(2019)
Nils Lukas
,
Yuxuan Zhang
,
Florian Kerschbaum
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples.
CoRR
(2019)