176 citations · 250 across the 13 of their papers we have counts for
14 papers
LLoCO: Learning Long Contexts Offline
Sijun Tan, Xiuyu Li, Shishir Patil +5
Processing long contexts remains a challenge for large language models (LLMs) due to the quadratic computational and memory overhead of the self-attention mechanism and the substan…
Reflections on trusting distributed trust
Emma Dauterman, Vivian Fang, Natacha Crooks +1
Many systems today distribute trust across multiple parties such that the system provides certain security properties if a subset of the parties are honest. In the past few years,…
The Sky Above The Clouds
Sarah Chasins, Alvin Cheung, Natacha Crooks +14
Technology ecosystems often undergo significant transformations as they mature. For example, telephony, the Internet, and PCs all started with a single provider, but in the United…
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
Sam Kumar, David E. Culler, Raluca Ada Popa
Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. SC is being increasingly adopted by indust…
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics
Rishabh Poddar, Sukrit Kalra, Avishay Yanai +3
Many organizations stand to benefit from pooling their data together in order to draw mutually beneficial insights -- e.g., for fraud detection across banks, better medical studies…
Secure Collaborative Training and Inference for XGBoost
Andrew Law, Chester Leung, Rishabh Poddar +6
In recent years, gradient boosted decision tree learning has proven to be an effective method of training robust models. Moreover, collaborative learning among multiple parties has…