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Information Flow Control in Machine Learning through Modular Model Architecture

5 June 2023

Papers citing "Information Flow Control in Machine Learning through Modular Model Architecture"

29 / 29 papers shown

Title
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation Fangyuan Xu Weijia Shi Eunsol Choi RALM 87 165 0 06 Oct 2023
Large Language Models Michael R Douglas LLMAG LM&MA 140 642 0 11 Jul 2023
Federated Learning of Gboard Language Models with Differential Privacy Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 86 81 0 29 May 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis Sanjay Kariyappa Chuan Guo Kiwan Maeng Wenjie Xiong G. E. Suh Moinuddin K. Qureshi Hsien-Hsin S. Lee FedML 81 29 0 12 Sep 2022
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models Margaret Li Suchin Gururangan Tim Dettmers M. Lewis Tim Althoff Noah A. Smith Luke Zettlemoyer MoMe 91 153 0 05 Aug 2022
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger Zhiqi Bu Yu Wang Sheng Zha George Karypis 119 71 0 14 Jun 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model Sid Black Stella Biderman Eric Hallahan Quentin G. Anthony Leo Gao ... Shivanshu Purohit Laria Reynolds J. Tow Benqi Wang Samuel Weinbach 180 835 0 14 Apr 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 86 171 0 13 Jan 2022
Improving language models by retrieving from trillions of tokens Sebastian Borgeaud A. Mensch Jordan Hoffmann Trevor Cai Eliza Rutherford ... Simon Osindero Karen Simonyan Jack W. Rae Erich Elsen Laurent Sifre KELM RALM 251 1,099 0 08 Dec 2021
DEMix Layers: Disentangling Domains for Modular Language Modeling Suchin Gururangan Michael Lewis Ari Holtzman Noah A. Smith Luke Zettlemoyer KELM MoE 99 136 0 11 Aug 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 64 183 0 08 Jun 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts Alisa Liu Maarten Sap Ximing Lu Swabha Swayamdipta Chandra Bhagavatula Noah A. Smith Yejin Choi MU 115 375 0 07 May 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 86 315 0 04 Mar 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 509 1,946 0 14 Dec 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Dmitry Lepikhin HyoukJoong Lee Yuanzhong Xu Dehao Chen Orhan Firat Yanping Huang M. Krikun Noam M. Shazeer Zhiwen Chen MoE 121 1,191 0 30 Jun 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 97 72 0 09 Mar 2020
Formalizing Data Deletion in the Context of the Right to be Forgotten Sanjam Garg S. Goldwasser Prashant Nalini Vasudevan AILaw MU 99 83 0 25 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training Kelvin Guu Kenton Lee Zora Tung Panupong Pasupat Ming-Wei Chang RALM 140 2,116 0 10 Feb 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 147 978 0 04 Dec 2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang R. Jia Hengzhi Pei Wenxiao Wang Yue Liu Basel Alomair AAML 113 422 0 17 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 110 450 0 08 Nov 2019
Generalization through Memorization: Nearest Neighbor Language Models Urvashi Khandelwal Omer Levy Dan Jurafsky Luke Zettlemoyer M. Lewis RALM 169 842 0 01 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 462 20,317 0 23 Oct 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 125 1,239 0 11 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 674 24,541 0 26 Jul 2019
ELI5: Long Form Question Answering Angela Fan Yacine Jernite Ethan Perez David Grangier Jason Weston Michael Auli AI4MH ELM 103 624 0 22 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,447 0 19 Jun 2019
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,155 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016