Leaky Dnn Stealing Deep Learning

Media Summary: Presentation of our DSN 2020 work. For details of our work visit: Platform as a service is a growing trend in data science where services like fraud analysis and face detection can be provided via ... Authors: Sanjay Kariyappa, Moinuddin K. Qureshi Description:

Leaky Dnn Stealing Deep Learning - Detailed Analysis & Overview

Presentation of our DSN 2020 work. For details of our work visit: Platform as a service is a growing trend in data science where services like fraud analysis and face detection can be provided via ... Authors: Sanjay Kariyappa, Moinuddin K. Qureshi Description: Nicholas Carlini is a research scientist at Google Brain working at the intersection of

Photo Gallery

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

USENIX Security '21 - Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

NDSS 2020 CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples

Stealing Models from the Cloud

Deep Neural Network (DNN) | Deep Learning

CloudLeak: DNN Model Extractions from Commercial MLaaS Platforms

Defending Against Model Stealing Attacks With Adaptive Misinformation

A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning

USENIX Security '24 - Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with...

Stealing Hyperparameters in Machine Learning

Stealing Neural Networks With Model Extraction Attacks

Understanding Dropout (C2W1L07)

View Detailed Profile

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

Leaky DNN: Stealing Deep-learning Model Secret with GPU Context-switching Side-channel

Presentation of our DSN 2020 work. For details of our work visit: https://aicps.eng.uci.edu.

USENIX Security '21 - Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

USENIX Security '21 - Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

USENIX Security '21 - Hermes Attack:

NDSS 2020 CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples

NDSS 2020 CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples

SESSION 8B-3 CloudLeak: Large-Scale

Stealing Models from the Cloud

Stealing Models from the Cloud

Platform as a service is a growing trend in data science where services like fraud analysis and face detection can be provided via ...

Deep Neural Network (DNN) | Deep Learning

Deep Neural Network (DNN) | Deep Learning

Deep

CloudLeak: DNN Model Extractions from Commercial MLaaS Platforms

CloudLeak: DNN Model Extractions from Commercial MLaaS Platforms

Deep Neural Networks

Defending Against Model Stealing Attacks With Adaptive Misinformation

Defending Against Model Stealing Attacks With Adaptive Misinformation

Authors: Sanjay Kariyappa, Moinuddin K. Qureshi Description:

A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning

A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning

In recent years,

USENIX Security '24 - Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with...

USENIX Security '24 - Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with...

Yes, One-Bit-Flip Matters! Universal

Stealing Hyperparameters in Machine Learning

Stealing Hyperparameters in Machine Learning

Stealing

Stealing Neural Networks With Model Extraction Attacks

Stealing Neural Networks With Model Extraction Attacks

Nicholas Carlini is a research scientist at Google Brain working at the intersection of

Understanding Dropout (C2W1L07)

Understanding Dropout (C2W1L07)

Take the

NDSS 2019 ML-Leaks: Inference Attacks and Defenses on Machine Learning Models

NDSS 2019 ML-Leaks: Inference Attacks and Defenses on Machine Learning Models

SESSION 3A-1 ML-