NDSS 2024 - AISCC 2024, Workshop on Artificial Intelligence System with Confidential Computing

AISCC 2024, Workshop on Artificial Intelligence System with Confidential Computing
The transformative power of Artificial Intelligence (AI) is reshaping industries, from healthcare and finance to transportation and entertainment, ushering in a new era of innovation and efficiency. However, with the rapid advancements in AI, there is an escalating concern regarding the profound implications for its security, privacy, and safety. In particular, it poses challenges in addressing critical vulnerabilities and risks, including the leakage of training data, the emergence of adversarial samples in machine learning models, and the threat of backdoor attacks on AI systems.
On the other hand, Confidential Computing has witnessed significant growth in recent years. This technology aims to safeguard data during its use by establishing an isolated execution environment that is encrypted. Such a design is particularly beneficial for AI applications where elements like the model, training data, or inference tasks possess sensitive or private details.
Following the release of NVIDIA’s H100 this year, deploying ML systems on TEEs that require real-world GPU support has become more practical. Identifying ways to utilize TEEs to address concerns in AI security, privacy, and safety has emerged as a hot topic. It is not only urgently needed for in-depth discussion but also represents a promising new research direction. However, there is limited interaction between practitioners and researchers in Confidential Computing and AI security; the two fields currently operate somewhat in isolation. Through this workshop, our aim is to bridge this gap by bringing together practitioners and researchers from both domains. By issuing a call for publications for this workshop, we hope to advance the use of TEEs in addressing AI security challenges and to explore new issues arising in the convergence of these two domains.
Jump to parts of the program by clicking on the chapters below:
00:00 - Welcome to AISCC and Paper Awards
6:40 - Keynote #1: The Accelerator Conundrum with Confidential Computing by Hubertus Franke (IBM)
44:06 - Keynote #2: Assessing Trustworthiness and Risks of Generative Models by Bo Li (UIUC)
1:19:10 - Keynote #3: Inside Azure Confidential GPU VMs with NVIDIA H100 Tensor Core GPUs by Antoine Delignat-Lavaud & Kapil Vaswani (Microsoft Azure Research)
1:56:30 - Accepted Paper Presentation
Program: www.ndss-symposium.org/ndss-p...
Accepted Papers: www.ndss-symposium.org/ndss20...
Leadership: www.ndss-symposium.org/ndss20...
Submissions: www.ndss-symposium.org/ndss20...
Network and Distributed System Security (NDSS) Symposium 2024, 26 February - 1 March 2024 in San Diego, California.
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
www.ndss-symposium.org/
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