FLAME: Taming Backdoors in Federated Learning

Autor: Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad Reza Sadeghi, Thomas Schneider

Publikováno v: Aalto University

Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive local datasets with others. Despite its benefits, FL is vulnerable to so-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890e78cac65781f885e74fa329c0c0e5
https://zenodo.org/record/7867931

Poster

Autor: Andreas Brüggemann, Thomas Schneider, Ajith Suresh, Hossein Yalame

Publikováno v: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2dc21a83881992193634850af8cb5b17
https://doi.org/10.1145/3548606.3563511

Small Constant Mean-Error Imprecise Adder/Multiplier for Efficient VLSI Implementation of MAC-Based Applications

Autor: Mohammad Haji Seyed Javadi, Mohammad Hossein Yalame, Hamid Reza Mahdiani

Publikováno v: IEEE Transactions on Computers. 69:1376-1387

Due to considerable effectiveness of the imprecise computing paradigm in hardware implementation of many applications, great attention has been recently paid by many research groups to develop different novel imprecise computational blocks such as ad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ff77958eb80376087fc5531e5543989
https://doi.org/10.1109/tc.2020.2972549

LLVM-Based Circuit Compilation for Practical Secure Computation

Autor: Hossein Yalame, Christian Weinert, Oleksandr Tkachenko, Thomas Schneider, Tim Heldmann

Publikováno v: Applied Cryptography and Network Security-19th International Conference, ACNS 2021, Kamakura, Japan, June 21–24, 2021, Proceedings, Part II
Applied Cryptography and Network Security ISBN: 9783030783747
ACNS (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Applied Cryptography and Network Security

Multi-party computation (MPC) allows two or more parties to jointly and securely compute functions over private inputs. Cryptographic protocols that realize MPC require functions to be expressed as Boolean or arithmetic circuits. Deriving such circui

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a715af7baf290fa2c38dcb6fed1dfd60

MP2ML

Autor: Daniel Demmler, Hossein Yalame, Thomas Schneider, Fabian Boemer, Rosario Cammarota

Publikováno v: PPMLP@CCS
ARES
15. International Conference on Availability, Reliability and Security (ARES'20)

Privacy-preserving machine learning (PPML) has many applications, from medical image classification and anomaly detection to financial analysis. nGraph-HE enables data scientists to perform private inference of deep learning (DL) models trained using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efabfd60c6afca961f7b081bdbc26855
https://doi.org/10.1145/3411501.3419425