Yingqi Liu

发表

Piccolo: Exposing Complex Backdoors in NLP Transformer Models

X. Zhang, Shiqing Ma, Guanhong Tao, 2022, 2022 IEEE Symposium on Security and Privacy (SP).

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning

Pin-Yu Chen, Shiqing Ma, Guanhong Tao, 2022, ArXiv.

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

Shiqing Ma, Guanhong Tao, Siyuan Cheng, 2023, NDSS.

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity

X. Zhang, Guanhong Tao, Yuan Yao, 2022, NDSS.

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features

Xiangyu Zhang, Lei Xu, Junyu Lin, 2020, CCS.

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification pdf

Xiangyu Zhang, Siyuan Cheng, Shiqing Ma, 2020, AAAI.

ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation

Xiangyu Zhang, Guanhong Tao, Wen-Chuan Lee, 2019, CCS.

Backdoor Scanning for Deep Neural Networks through K-Arm Optimization

X. Zhang, Shiqing Ma, Guanhong Tao, 2021, ICML.

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

Yi Shi, Dacheng Tao, Li Shen, 2023, ArXiv.

Make Landscape Flatter in Differentially Private Federated Learning

Yi Shi, Dacheng Tao, Li Shen, 2023, ArXiv.

Backdoor Vulnerabilities in Normally Trained Deep Learning Models

Shiqing Ma, Guanhong Tao, Zhuo Zhang, 2022, ArXiv.

DECK: Model Hardening for Defending Pervasive Backdoors

Guanhong Tao, Zhuo Zhang, Siyuan Cheng, 2022, ArXiv.

Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security

X. Zhang, Guanhong Tao, Zhuo Zhang, 2022, 2022 IEEE Symposium on Security and Privacy (SP).

Programming support for autonomizing software

Peng Liu, Wen-Chuan Lee, Xiangyu Zhang, 2019, PLDI.

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

Dacheng Tao, Yi Shi, Yan Sun, 2023, ArXiv.

Detecting Backdoors in Pre-trained Encoders

Shiqing Ma, Guanhong Tao, Siyuan Cheng, 2023, ArXiv.

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning

Pin-Yu Chen, Shiqing Ma, Guanhong Tao, 2022, ICLR.

Make Landscape Flatter in Differentially Private Federated Learning

Yi Shi, Dacheng Tao, Li Shen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis

Guanhong Tao, Yapeng Ye, Xiangyu Zhang, 2023, USENIX Security Symposium.

ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes

Y. Yao, Shiqing Ma, Guanhong Tao, 2023, 2023 IEEE Symposium on Security and Privacy (SP).

Trojaning Attack on Neural Networks

Yousra Aafer, Shiqing Ma, Wen-Chuan Lee, 2018 .