5 papers
Fiona: Accelerating FHE Inference with Packing-Aware Ternary Weights
Yiteng Peng, Zhibo Liu, Dongwei Xiao +1
Fully homomorphic encryption (FHE) enables neural network inference directly on encrypted inputs, but it remains orders of magnitude slower than plaintext in- ference. Applying the…
The Unseen Delta: Characterizing the Compiler Optimization Landscape via Top-Down Differential Analysis
Zhibo Liu, Huaijin Wang, Shuai Wang
Compiler optimizations are essential for achieving high performance in modern software. However, recent studies highlight the persistence of performance bugs, i.e., subtle defects…
Detecting and Understanding Vulnerabilities in Fully Homomorphic Encryption Frameworks
Yiteng Peng, Dongwei Xiao, Zhibo Liu +2
Fully homomorphic encryption (FHE) allows computations to be performed directly on encrypted data without decryption, offering strong privacy guarantees for sensitive data analysis…
Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements
Huaijin Wang, Zhibo Liu, Yanbo Dai +4
Software composition analysis (SCA) denotes the process of identifying open-source software components in an input software application. SCA has been extensively developed and adop…
Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables
Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan +3
Bit-flip attacks (BFAs) can manipulate deep neural networks (DNNs). For high-level DNN models running on deep learning (DL) frameworks like PyTorch, extensive BFAs have been used t…