Using model optimization as countermeasure against model recovery attacks
Machine learning (ML) and Deep learning (DL) have been widely studied and adopted for different applications across various fields. There is a growing demand for ML implementations as well as ML accelerators for small devices for Internet-of-Things (IoT) applications. Often, these accelerators allow...
محفوظ في:
المؤلفون الرئيسيون: | Jap, Dirmanto, Bhasin, Shivam |
---|---|
مؤلفون آخرون: | Applied Cryptography and Network Security Workshops (ACNS 2023) |
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2024
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/173621 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
-
Practical Evaluation of FSE 2016 Customized Encoding Countermeasure
بواسطة: Bhasin, Shivam, وآخرون
منشور في: (2018) -
Practical side-channel based model extraction attack on tree-based machine learning algorithm
بواسطة: Jap, Dirmanto, وآخرون
منشور في: (2021) -
A Study on Analyzing Side-Channel Resistant Encoding Schemes with Respect to Fault Attacks
بواسطة: Breier, Jakub, وآخرون
منشور في: (2018) -
Breaking redundancy-based countermeasures with random faults and power side channel
بواسطة: Saha, Sayandeep, وآخرون
منشور في: (2019) -
DeepFreeze : cold boot attacks and high fidelity model recovery on commercial EdgeML device
بواسطة: Won, Yoo-Seung, وآخرون
منشور في: (2022)