Security, privacy, & cryptography

출판

Large Scale Private Learning via Low-rank Reparametrization

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

International Conference on Machine Learning (ICML) | July 2021

그룹

Privacy in AI (PAI)

Privacy in AI group explores questions related to user privacy and confidentiality in machine learning.

출판

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres

June 2021

출판

Membership Inference on Word Embedding and Beyond

Saeed Mahloujifar, Huseyin A. Inan, Melissa Chase, Esha Ghosh, Marcello Hasegawa

June 2021

출판

PipeZK: Accelerating Zero-Knowledge Proof with a Pipelined Architecture

Ye Zhang, Shuo Wang, Xian Zhang, Jiangbin Dong, Xingzhong Mao, Fan Long, Cong Wang, Dong Zhou, Mingyu Gao, Guangyu Sun

48th IEEE/ACM International Symposium on Computer Architecture (ISCA) | June 2021

툴

Privacy Random Variable (PRV) Accountant

We have developed a new algorithm to optimally compose privacy guarantees of differentially private (DP) algorithms to arbitrary accuracy. This release accompanies our research paper. We hope to help the privacy community run more accurate…

깃허브 출판

출판

A System for Automated Open-Source Threat Intelligence Gathering and Management

Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song

International Conference on Management of Data | June 2021

출판

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

Xin Sun, Tao Ge, Furu Wei, Houfeng Wang

ACL-IJCNLP 2021 | June 2021

출판

Detection of Malicious DNS and Web Servers Using Graph-Based Approaches

Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes

IEEE International Conference on Acoustics, Speech and Signal Processing | June 2021

프로젝트

출판

Targeted Adversarial Training for Natural Language Understanding

Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi

NAACL | June 2021

Github

Security, privacy, & cryptography

Verifying Rust cryptography in SymCrypt, from standards to code

Vega: Zero-knowledge proofs for digital identity in the age of AI

Ire identifies another LOTUSLITE specimen

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

Large Scale Private Learning via Low-rank Reparametrization

Privacy in AI (PAI)

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

Membership Inference on Word Embedding and Beyond

PipeZK: Accelerating Zero-Knowledge Proof with a Pipelined Architecture

Privacy Random Variable (PRV) Accountant

A System for Automated Open-Source Threat Intelligence Gathering and Management

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

Detection of Malicious DNS and Web Servers Using Graph-Based Approaches

Targeted Adversarial Training for Natural Language Understanding

Security, privacy, & cryptography

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