activity
20202025
most citedFLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning

17 citations · 44 across the 14 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SE2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model

Xiangzhe Xu, Zhou Xuan, Shiwei Feng +7

Binary similarity analysis determines if two binary executables are from the same source program. Existing techniques leverage static and dynamic program features and may utilize a…

cs.SE2023★ 4 cited

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

Xiangzhe Xu, Zhuo Zhang, Zian Su +8

Decompilation aims to recover the source code form of a binary executable. It has many security applications, such as malware analysis, vulnerability detection, and code hardening.…

cs.CV2023★ 3 cited

Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection

Zhiyuan Cheng, Hongjun Choi, James Liang +5

Multi-sensor fusion (MSF) is widely used in autonomous vehicles (AVs) for perception, particularly for 3D object detection with camera and LiDAR sensors. The purpose of fusion is t…

cs.CV2023

Detecting Backdoors in Pre-trained Encoders

Shiwei Feng, Guanhong Tao, Siyuan Cheng +6

Self-supervised learning in computer vision trains on unlabeled data, such as images or (image, text) pairs, to obtain an image encoder that learns high-quality embeddings for inpu…

cs.CR2023★ 4 cited

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

Siyuan Cheng, Guanhong Tao, Yingqi Liu +8

Deep Learning backdoor attacks have a threat model similar to traditional cyber attacks. Attack forensics, a critical counter-measure for traditional cyber attacks, is hence of imp…