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09/27/2022
On the Choice of Databases in Differential Privacy Composition
Differential privacy (DP) is a widely applied paradigm for releasing dat...
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05/13/2022
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
We study a pitfall in the typical workflow for differentially private ma...
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05/06/2022
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds
Differential privacy (DP) is a widely used notion for reasoning about pr...
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03/10/2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Audio CAPTCHAs are supposed to provide a strong defense for online resou...
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10/25/2021
Beyond L_p clipping: Equalization-based Psychoacoustic Attacks against ASRs
Automatic Speech Recognition (ASR) systems convert speech into text and ...
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10/13/2021
Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption
We introduce a new type of format-transforming encryption where the form...
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07/21/2021
Generative Models for Security: Attacks, Defenses, and Opportunities
Generative models learn the distribution of data from a sample dataset a...
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07/13/2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Speech and speaker recognition systems are employed in a variety of appl...
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07/13/2020
The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Speech and speaker recognition systems are employed in a variety of appl...
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02/13/2018
Understanding Membership Inferences on Well-Generalized Learning Models
Membership Inference Attack (MIA) determines the presence of a record in...
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12/25/2017
Towards Measuring Membership Privacy
Machine learning models are increasingly made available to the masses th...
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08/26/2017