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Piranha: A {GPU} platform for secure computation
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …
learning (ML). However, secure training of large-scale ML models currently requires a …
Privacy-enhancing technologies in biomedical data science
H Cho, D Froelicher, N Dokmai, A Nandi… - Annual review of …, 2024 - annualreviews.org
The rapidly growing scale and variety of biomedical data repositories raise important privacy
concerns. Conventional frameworks for collecting and sharing human subject data offer …
concerns. Conventional frameworks for collecting and sharing human subject data offer …
Artificial intelligence for cyber security: Current trends and future challenges
MM Nair, A Deshmukh, AK Tyagi - … Secure Computing for Next …, 2024 - Wiley Online Library
Artificial intelligence (AI) has helped industries and society today to become modern and
more productive. Using the Internet of Things (IoT), we can sense and transfer data through …
more productive. Using the Internet of Things (IoT), we can sense and transfer data through …
Pika: Secure computation using function secret sharing over rings
S Wagh - Proceedings on Privacy Enhancing Technologies, 2022 - petsymposium.org
Machine learning algorithms crucially depend on non-linear mathematical functions such as
division (for normalization), exponentiation (for softmax and sigmoid), tanh (as an activation …
division (for normalization), exponentiation (for softmax and sigmoid), tanh (as an activation …
Modulonet: Neural networks meet modular arithmetic for efficient hardware masking
Intellectual Property (IP) thefts of trained machine learning (ML) models through side-
channel attacks on inference engines are becoming a major threat. Indeed, several recent …
channel attacks on inference engines are becoming a major threat. Indeed, several recent …
Asterisk: Super-fast MPC with a Friend
B Karmakar, N Koti, A Patra… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Secure multiparty computation (MPC) enables privacy-preserving collaborative computation
over sensitive data held by multiple mutually distrusting parties. Unfortunately, in the most …
over sensitive data held by multiple mutually distrusting parties. Unfortunately, in the most …
Meteor: improved secure 3-party neural network inference with reducing online communication costs
Secure neural network inference has been a promising solution to private Deep-Learning-as-
a-Service, which enables the service provider and user to execute neural network inference …
a-Service, which enables the service provider and user to execute neural network inference …
[PDF][PDF] An efficient multi-signature scheme for blockchain
M Kara, A Laouid, M Hammoudeh - Cryptology ePrint Archive, 2023 - iacr.steepath.eu
Blockchain is a newly emerging technology, however, it has proven effective in many
applications because it provides multiple advantages, mainly as it represents a trust system …
applications because it provides multiple advantages, mainly as it represents a trust system …
An enhanced threshold RSA-based aggregate signature scheme to reduce blockchain size
K Chait, A Laouid, M Kara, M Hammoudeh… - IEEE …, 2023 - ieeexplore.ieee.org
The transformative potential of blockchain technology has resulted in its widespread
adoption, bringing about numerous advantages such as enhanced data integrity …
adoption, bringing about numerous advantages such as enhanced data integrity …
PLASMA: Private, lightweight aggregated statistics against malicious adversaries
D Mouris, P Sarkar, NG Tsoutsos - Proceedings on Privacy …, 2024 - petsymposium.org
Private heavy-hitters is a data-collection task where multiple clients possess private bit
strings, and data-collection servers aim to identify the most popular strings without learning …
strings, and data-collection servers aim to identify the most popular strings without learning …