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Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
17 May 2021
Franziska Boenisch
Philip Sperl
Konstantin Böttinger
AAML
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Papers citing
"Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning"
3 / 3 papers shown
Title
Impact of Architectural Modifications on Deep Learning Adversarial Robustness
Firuz Juraev
Mohammed Abuhamad
Simon S. Woo
George K Thiruvathukal
Tamer Abuhmed
AAML
51
0
0
03 May 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
47
2
0
07 Dec 2023
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
147
178
0
28 Jul 2020
1