SecureLLM: Using Compositionality to Build Provably Secure Language
Models for Private, Sensitive, and Secret Data

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SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data

16 May 2024

Abdulrahman Alabdulakreem

Christian M Arnold

Pieter M Feenstra

ArXiv (abs)PDF HTML

Papers citing "SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data"

13 / 13 papers shown

Title
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 161 1 0 09 Oct 2024
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang Qian Liu Bill Yuchen Lin Tianyu Pang Chao Du Min Lin MoMe 103 214 0 25 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 406 12,076 0 18 Jul 2023
Composing Parameter-Efficient Modules with Arithmetic Operations Jinghan Zhang Shiqi Chen Junteng Liu Junxian He KELM MoMe 93 124 0 26 Jun 2023
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 240 371 0 13 Oct 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 515 1,953 0 14 Dec 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 68 23 0 13 Apr 2020
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 64 127 0 17 Dec 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Sorami Hisamoto Matt Post Kevin Duh MIACV SLR 61 107 0 11 Apr 2019
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos Basel Alomair 155 1,149 0 22 Feb 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,172 0 01 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014

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