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PPMLP 2020: Workshop on Privacy-Preserving Machine Learning In Practice.

, , , , and . CCS, page 2139-2140. ACM, (2020)

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Approximate Selection with Guarantees using Proxies., , , , and . Proc. VLDB Endow., 13 (11): 1990-2003 (2020)Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems., , , , , , and . CoRR, (2024)Optimizing Cache Performance for Graph Analytics., , , , and . CoRR, (2016)Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces, , , , and . CoRR, (2012)Big Data Platforms for Data Analytics., , , , and . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks., , , , , and . CoRR, (2023)Weld: Rethinking the Interface Between Data-Intensive Applications., , , , , , , , , and . CoRR, (2017)Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates., , , , , and . CoRR, (2021)Memory-Efficient Pipeline-Parallel DNN Training., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7937-7947. PMLR, (2021)Spectral Lower Bounds on the I/O Complexity of Computation Graphs., and . SPAA, page 329-338. ACM, (2020)