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Nicholas Carlini

A 2-ply minimax chess engine in 84,688 regular expressions How to win a best paper award Are large language models worth it? Gate-level emulation of an Intel 4004 in 4004 bytes of C miniHDL: A Python Hardware Description Language DSL Machines of Ruthless Efficiency My Thoughts on the Future of "AI" What my privacy papers (don't) have to say about copyright and generative AI Career Update: Google DeepMind -> Anthropic AI forecasting retrospective: you're (probably) over-confident Letting Language Models Write my Website You should forecast the future of AI How I Use "AI" Why I attack (yet another) Broken Adversarial Example Defense at IEEE S&P 2024 My benchmark for large language models My research idea logfile, 2016-2019 Reading Data off an Apple ProFile Hard Drive with an Arduino Playing chess with large language models Little Bobby |endoftext| A ChatGPT clone, in 3000 bytes of C, backed by GPT-2 Reflecting on Towards Evaluating the Robustness of Neural Networks Rapid Iteration in Machine Learning Research A Case of Plagarism in Machine Learning Research Multiplexing Circuits on the Game of Life - Part 5 Research Paper Release Checklist A Simple CPU on the Game of Life - Part 4 Improved Logic Gates on Conway's Game of Life - Part 3 Yet Another Space Game (In 13kb of JavaScript) Yet Another MOBA (In 13kb of JavaScript) Realtime Screen Recording of Breaking a Defense to Adversarial Examples An Introduction to Circuit Design on Conway's Game of Life - Part 2 Digital Logic Gates on Conway's Game of Life - Part 1 Are adversarial example defenses improving? Yet Another Doom Clone (In 13kb of JavaScript) 3D Shadow Mapping Renderer in JavaScript A Complete List of All (arXiv) Adversarial Example Papers Adversarial Machine Learning Reading List Recommendations for Evaluating Adversarial Example Defenses
InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place
2020-12-05 · via Nicholas Carlini
InstaHide (a recent method that claims to give a way to train neural networks while preserving training data …

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