Stochastic Training for Side-Channel Resilient AI
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915331924033536 |
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| author | Dubey, Anuj Aysu, Aydin |
| author_facet | Dubey, Anuj Aysu, Aydin |
| contents | The confidentiality of trained AI models on edge devices is at risk from side-channel attacks exploiting power and electromagnetic emissions. This paper proposes a novel training methodology to enhance resilience against such threats by introducing randomized and interchangeable model configurations during inference. Experimental results on Google Coral Edge TPU show a reduction in side-channel leakage and a slower increase in t-scores over 20,000 traces, demonstrating robustness against adversarial observations. The defense maintains high accuracy, with about 1% degradation in most configurations, and requires no additional hardware or software changes, making it the only applicable solution for existing Edge TPUs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06597 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Stochastic Training for Side-Channel Resilient AI Dubey, Anuj Aysu, Aydin Cryptography and Security The confidentiality of trained AI models on edge devices is at risk from side-channel attacks exploiting power and electromagnetic emissions. This paper proposes a novel training methodology to enhance resilience against such threats by introducing randomized and interchangeable model configurations during inference. Experimental results on Google Coral Edge TPU show a reduction in side-channel leakage and a slower increase in t-scores over 20,000 traces, demonstrating robustness against adversarial observations. The defense maintains high accuracy, with about 1% degradation in most configurations, and requires no additional hardware or software changes, making it the only applicable solution for existing Edge TPUs. |
| title | Stochastic Training for Side-Channel Resilient AI |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2506.06597 |