Machine Learning Side Channels Ii

Media Summary: 2023, December 18th, 11.00 ET / 17.00 CET Edoardo Debenedetti Most current approaches for protecting privacy in Presentation of our DSN 2020 work. For details of our work visit: Speaker: Dirmanto Jap and Xiaolu Hou, NTU, Singapore WORKSHOP ON

Machine Learning Side Channels Ii - Detailed Analysis & Overview

2023, December 18th, 11.00 ET / 17.00 CET Edoardo Debenedetti Most current approaches for protecting privacy in Presentation of our DSN 2020 work. For details of our work visit: Speaker: Dirmanto Jap and Xiaolu Hou, NTU, Singapore WORKSHOP ON Paper by Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli presented at CHES 2021 See ... This talk showcases SCALD, our tool that leverages deep- Speaker: Stjepan Picek, TU Delft, Netherlands WORKSHOP ON

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Machine Learning & Side Channels II (CHES 2025)

Machine Learning & Side Channels I (CHES 2025)

Machine Learning and Side-Channel Analysis I (CHES 2023)

Privacy Side Channels in Machine Learning Systems

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

Session on Deep Learning Based Side Channel Attacks

Machine Learning and Side-Channel Analysis II (CHES 2023)

On Side-Channel & Fault Attacks against Machine learning

Session on Side Channel Metrics and Masking Schemes

USENIX Security '24 - Privacy Side Channels in Machine Learning Systems

Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks: – A Case Study...

A hacker guide to reducing side channel attack surfaces using deep learning - DEF CON 28

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Machine Learning & Side Channels II (CHES 2025)

Machine Learning & Side Channels II (CHES 2025)

Machine Learning

Machine Learning & Side Channels I (CHES 2025)

Machine Learning & Side Channels I (CHES 2025)

Machine Learning

Machine Learning and Side-Channel Analysis I (CHES 2023)

Machine Learning and Side-Channel Analysis I (CHES 2023)

Machine Learning

Privacy Side Channels in Machine Learning Systems

Privacy Side Channels in Machine Learning Systems

2023, December 18th, 11.00 ET / 17.00 CET Edoardo Debenedetti Most current approaches for protecting privacy in

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

Presentation of our DSN 2020 work. For details of our work visit: https://aicps.eng.uci.edu.

Session on Deep Learning Based Side Channel Attacks

Session on Deep Learning Based Side Channel Attacks

Session at CHES 2022; see https://ches.iacr.org/2022/program.php.

Machine Learning and Side-Channel Analysis II (CHES 2023)

Machine Learning and Side-Channel Analysis II (CHES 2023)

Machine Learning

On Side-Channel & Fault Attacks against Machine learning

On Side-Channel & Fault Attacks against Machine learning

Speaker: Dirmanto Jap and Xiaolu Hou, NTU, Singapore @VIRTUAL WORKSHOP ON

Session on Side Channel Metrics and Masking Schemes

Session on Side Channel Metrics and Masking Schemes

Session at CHES 2022; see https://ches.iacr.org/2022/program.php.

USENIX Security '24 - Privacy Side Channels in Machine Learning Systems

USENIX Security '24 - Privacy Side Channels in Machine Learning Systems

Privacy

Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks: – A Case Study...

Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks: – A Case Study...

Paper by Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli presented at CHES 2021 See ...

A hacker guide to reducing side channel attack surfaces using deep learning - DEF CON 28

A hacker guide to reducing side channel attack surfaces using deep learning - DEF CON 28

This talk showcases SCALD, our tool that leverages deep-

On Use of Machine Learning For Assessment of Side-Channel Attacks

On Use of Machine Learning For Assessment of Side-Channel Attacks

Speaker: Stjepan Picek, TU Delft, Netherlands @VIRTUAL WORKSHOP ON