b'Yansong Gao'

research

∙ 09/21/2023

DeepTheft: Stealing DNN Model Architectures through Power Side Channel

Deep Neural Network (DNN) models are often deployed in resource-sharing ...

0 Yansong Gao, et al. ∙

research

∙ 05/22/2023

Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables

Vertical federated learning (VFL) has recently emerged as an appealing d...

0 Yifeng Zheng, et al. ∙

research

∙ 04/22/2023

Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis

Denoising diffusion probabilistic models (DDPMs) are a class of powerful...

3 Yansong Gao, et al. ∙

research

∙ 02/09/2023

Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder

The backdoor attack poses a new security threat to deep neural networks....

0 Jiliang Zhang, et al. ∙

research

∙ 02/03/2023

Vertical Federated Learning: Taxonomies, Threats, and Prospects

Federated learning (FL) is the most popular distributed machine learning...

7 Qun Li, et al. ∙

research

∙ 11/24/2022

Tracking Dataset IP Use in Deep Neural Networks

Training highly performant deep neural networks (DNNs) typically require...

0 Seonhye Park, et al. ∙

research

∙ 09/06/2022

MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World

Object detection is the foundation of various critical computer-vision t...

1 Hua Ma, et al. ∙

research

∙ 07/20/2022

MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning Attacks on APUF Variants

To improve the modeling resilience of silicon strong physical unclonable...

0 Yansong Gao, et al. ∙

research

∙ 07/19/2022

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning

Federated Learning (FL), a distributed machine learning paradigm, has be...

0 Hua Ma, et al. ∙

research

∙ 06/10/2022

Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction

Split learning (SL) enables data privacy preservation by allowing client...

0 Ngoc Duy Pham, et al. ∙

research

∙ 05/31/2022

CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences

Backdoor attacks have been a critical threat to deep neural network (DNN...

0 Shang Wang, et al. ∙

research

∙ 04/14/2022

On Scheduling Mechanisms Beyond the Worst Case

The problem of scheduling unrelated machines has been studied since the ...

3 Yansong Gao, et al. ∙

research

∙ 04/04/2022

Towards Privacy-Preserving and Verifiable Federated Matrix Factorization

Recent years have witnessed the rapid growth of federated learning (FL),...

0 Xicheng Wan, et al. ∙

research

∙ 03/29/2022

Systematically Evaluation of Challenge Obfuscated APUFs

As a well-known physical unclonable function that can provide huge numbe...

0 Yansong Gao, et al. ∙

research

∙ 02/10/2022

PPA: Preference Profiling Attack Against Federated Learning

Federated learning (FL) trains a global model across a number of decentr...

0 Chunyi Zhou, et al. ∙

research

∙ 02/01/2022

Deep Reference Priors: What is the best way to pretrain a model?

What is the best way to exploit extra data – be it unlabeled data from t...

1 Yansong Gao, et al. ∙

research

∙ 01/21/2022

Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World

Deep learning models have been shown to be vulnerable to recent backdoor...

1 Hua Ma, et al. ∙

research

∙ 01/09/2022

A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM

Rowhammer has drawn much attention from both academia and industry in th...

0 Zhi Zhang, et al. ∙

research

∙ 11/22/2021

NTD: Non-Transferability Enabled Backdoor Detection

A backdoor deep learning (DL) model behaves normally upon clean inputs b...

5 Yinshan Li, et al. ∙

research

∙ 10/26/2021

SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning

Training high-performing deep learning models require a rich amount of d...

0 Yansong Gao, et al. ∙

research

∙ 10/03/2021

Design and Evaluate Recomposited OR-AND-XOR-PUF

Physical Unclonable Function (PUF) is a hardware security primitive with...

0 Jianrong Yao, et al. ∙

research

∙ 09/07/2021

NoisFre: Noise-Tolerant Memory Fingerprints from Commodity Devices for Security Functions

Given the ubiquity of memory in commodity electronic devices, fingerprin...

0 Yansong Gao, et al. ∙

research

∙ 08/20/2021

Quantization Backdoors to Deep Learning Models

There is currently a burgeoning demand for deploying deep learning (DL) ...

38 Hua Ma, et al. ∙

research

∙ 05/09/2021

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things

Though deep neural network models exhibit outstanding performance for va...

5 Huming Qiu, et al. ∙

research

∙ 04/08/2021

Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?

Collaborative inference has recently emerged as an intriguing framework ...

0 Jihyeon Ryu, et al. ∙

research

∙ 03/19/2021

Wisecr: Secure Simultaneous Code Disseminationto Many Batteryless Computational RFID Devices

Emerging ultra-low-power tiny scale computing devices in Cyber-Physical ...

0 Yang Su, et al. ∙

research

∙ 03/03/2021

Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things

Federated learning (FL) and split learning (SL) are state-of-the-art dis...

0 Yansong Gao, et al. ∙

research

∙ 03/01/2021

Token-Modification Adversarial Attacks for Natural Language Processing: A Survey

There are now many adversarial attacks for natural language processing s...

0 Tom Roth, et al. ∙

research

∙ 02/20/2021

SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh

Rowhammer attacks that corrupt level-1 page tables to gain kernel privil...

0 Zhi Zhang, et al. ∙

research

∙ 11/01/2020

An Information-Geometric Distance on the Space of Tasks

This paper computes a distance between tasks modeled as joint distributi...

23 Yansong Gao, et al. ∙

research

∙ 10/08/2020

Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks

As an essential processing step in computer vision applications, image r...

0 Bedeuro Kim, et al. ∙

research

∙ 07/27/2020

VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT

Due to the strong analytical ability of big data, deep learning has been...

0 Anmin Fu, et al. ∙

research

∙ 07/27/2020

FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning

Artificial intelligence (AI) has been applied in phishing email detectio...

0 Chandra Thapa, et al. ∙

research

∙ 07/21/2020

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

This work provides the community with a timely comprehensive review of b...

44 Yansong Gao, et al. ∙

research

∙ 03/30/2020

End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

This work is the first attempt to evaluate and compare felderated learni...

0 Yansong Gao, et al. ∙

research

∙ 03/16/2020

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

A new collaborative learning, called split learning, was recently introd...

0 Sharif Abuadbba, et al. ∙

research

∙ 02/27/2020

A Free-Energy Principle for Representation Learning

This paper employs a formal connection of machine learning with thermody...

1 Yansong Gao, et al. ∙

research

∙ 11/23/2019

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

This work corroborates a run-time Trojan detection method exploiting STR...

0 Yansong Gao, et al. ∙

research

∙ 06/01/2019

Average-case Analysis of the Assignment Problem with Independent Preferences

The fundamental assignment problem is in search of welfare maximization ...

0 Yansong Gao, et al. ∙

research

∙ 02/18/2019

STRIP: A Defence Against Trojan Attacks on Deep Neural Networks

Recent trojan attacks on deep neural network (DNN) models are one insidi...

0 Yansong Gao, et al. ∙

research

∙ 02/08/2019

Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study

Recently, we have witnessed the emergence of intermittently powered comp...

0 Yang Su, et al. ∙

research

∙ 02/08/2019

Building Secure SRAM PUF Key Generators on Resource Constrained Devices

A securely maintained key is the premise upon which data stored and tran...

0 Yansong Gao, et al. ∙

research

∙ 07/29/2018

TREVERSE: Trial-and-Error Lightweight Secure Reverse Authentication with Simulatable PUFs

A physical unclonable function (PUF) generates hardware intrinsic volati...

0 Yansong Gao, et al. ∙

research

∙ 07/27/2018

SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices

The simplicity of deployment and perpetual operation of energy harvestin...

0 Yang Su, et al. ∙

research

∙ 05/19/2018

Lightweight (Reverse) Fuzzy Extractor with Multiple Referenced PUF Responses

The physical unclonable function (PUF), alike fingerprint of human being...

0 Yansong Gao, et al. ∙

Yansong Gao

Featured Co-authors