Congzheng Song | DeepAI

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Featured Co-authors

Alexander M. Rush
77 publications
Eric Xing
70 publications
Pengtao Xie
59 publications
Emiliano De Cristofaro
57 publications
Kunal Talwar
44 publications
Shanghang Zhang
41 publications
Vitaly Feldman
41 publications
John Duchi
33 publications
Reza Shokri
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Vitaly Shmatikov
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Shan Wang
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∙ 07/27/2023

Samplable Anonymous Aggregation for Private Federated Data Analysis

We revisit the problem of designing scalable protocols for private stati...

0 Kunal Talwar, et al. ∙

∙ 07/14/2023

Population Expansion for Training Language Models with Private Federated Learning

Federated learning (FL) combined with differential privacy (DP) offers m...

0 Tatsuki Koga, et al. ∙

∙ 11/18/2022

Private Federated Statistics in an Interactive Setting

Privately learning statistics of events on devices can enable improved u...

0 Audra McMillan, et al. ∙

∙ 07/18/2022

FLAIR: Federated Learning Annotated Image Repository

Cross-device federated learning is an emerging machine learning (ML) par...

0 Congzheng Song, et al. ∙

∙ 03/15/2022

Training a Tokenizer for Free with Private Federated Learning

Federated learning with differential privacy, i.e. private federated lea...

0 Eugene Bagdasaryan, et al. ∙

∙ 11/09/2020

Adversarial Semantic Collisions

We study semantic collisions: texts that are semantically unrelated but ...

0 Congzheng Song, et al. ∙

∙ 07/05/2020

You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion

Code autocompletion is an integral feature of modern code editors and ID...

0 Roei Schuster, et al. ∙

∙ 03/31/2020

Information Leakage in Embedding Models

Embeddings are functions that map raw input data to low-dimensional vect...

0 Congzheng Song, et al. ∙

∙ 09/28/2019

Generalized Zero-shot ICD Coding

The International Classification of Diseases (ICD) is a list of classifi...

0 Congzheng Song, et al. ∙

∙ 09/27/2019

Membership Encoding for Deep Learning

Machine learning as a service (MLaaS), and algorithm marketplaces are on...

0 Congzheng Song, et al. ∙

∙ 05/28/2019

Overlearning Reveals Sensitive Attributes

`Overlearning' means that a model trained for a seemingly simple objecti...

0 Congzheng Song, et al. ∙

∙ 11/01/2018

The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model

To help enforce data-protection regulations such as GDPR and detect unau...

6 Congzheng Song, et al. ∙

∙ 05/10/2018

Inference Attacks Against Collaborative Learning

Collaborative machine learning and related techniques such as distribute...

0 Luca Melis, et al. ∙

∙ 03/15/2018

Chiron: Privacy-preserving Machine Learning as a Service

Major cloud operators offer machine learning (ML) as a service, enabling...

0 Tyler Hunt, et al. ∙

∙ 02/15/2018

Fooling OCR Systems with Adversarial Text Images

We demonstrate that state-of-the-art optical character recognition (OCR)...

0 Congzheng Song, et al. ∙

∙ 01/31/2018

Kernel Distillation for Gaussian Processes

Gaussian processes (GPs) are flexible models that can capture complex st...

0 Congzheng Song, et al. ∙

∙ 10/18/2016

Membership Inference Attacks against Machine Learning Models

We quantitatively investigate how machine learning models leak informati...

0 Reza Shokri, et al. ∙

∙ 09/27/2016

Learning Genomic Representations to Predict Clinical Outcomes in Cancer

Genomics are rapidly transforming medical practice and basic biomedical ...

0 Safoora Yousefi, et al. ∙

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