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Gradient Masking and the Underestimated Robustness Threats of
  Differential Privacy in Deep Learning

Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning

17 May 2021
Franziska Boenisch
Philip Sperl
Konstantin Böttinger
    AAML
ArXivPDFHTML

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
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
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
49
2
0
07 Dec 2023
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
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