132 citations · 683 across the 107 of their papers we have counts for
18 papers · 1 filter
MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair
Xuanze Chen, Xukang Xie, Wentao Fu +3
Memory systems allow agents to retain and reuse information from past interactions, but they can also let malicious content persist. A malicious instruction crafted by an attacker…
Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis
Jiajun Zhou, Changhui Sun, Wentao Fu +3
As adversaries increasingly weaponize encryption and protocol obfuscation to evade traffic detection, traditional methods are rendered obsolete, necessitating deep learning to unma…
Provable Repair of Deep Neural Network Defects by Preimage Synthesis and Property Refinement
Jianan Ma, Jingyi Wang, Qi Xuan +1
It is known that deep neural networks may exhibit dangerous behaviors under various security threats (e.g., backdoor attacks, adversarial attacks and safety property violation) and…
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
Songtao Peng, Lei Wang, Wu Shuai +4
With the rapid growth of internet traffic, malicious network attacks have become increasingly frequent and sophisticated, posing significant threats to global cybersecurity. Tradit…
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection
Junhao Wu, Yixin Yang, Chengxiang Jin +5
With the widespread adoption of Ethereum, financial frauds such as Ponzi schemes have become increasingly rampant in the blockchain ecosystem, posing significant threats to the sec…
Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph
Jiajun Zhou, Wentao Fu, Hao Song +2
As the Internet rapidly expands, the increasing complexity and diversity of network activities pose significant challenges to effective network governance and security regulation.…
Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
Jiajun Zhou, Jiacheng Yao, Xuanze Chen +3
Lateral movement is a crucial component of advanced persistent threat (APT) attacks in networks. Attackers exploit security vulnerabilities in internal networks or IoT devices, exp…
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
Jiajun Zhou, Xuanze Chen, Shengbo Gong +4
Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the rela…
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
Jiacheng Yao, Maolin Wang, Wanqi Chen +4
The wide application of Ethereum technology has brought technological innovation to traditional industries. As one of Ethereum's core applications, smart contracts utilize diverse…
Node Injection Attack Based on Label Propagation Against Graph Neural Network
Peican Zhu, Zechen Pan, Keke Tang +3
Graph Neural Network (GNN) has achieved remarkable success in various graph learning tasks, such as node classification, link prediction and graph classification. The key to the su…
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Wenjie Lv, Zhen Wang, Yitao Zheng +3
Machine learning security has recently become a prominent topic in the natural language processing (NLP) area. The existing black-box adversarial attack suffers prohibitively from…
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum
Jinhuan Wang, Pengtao Chen, Xinyao Xu +4
Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishin…
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes
Jie Jin, Jiajun Zhou, Chengxiang Jin +3
Blockchain technology supports the generation and record of transactions, and maintains the fairness and openness of the cryptocurrency system. However, many fraudsters utilize sma…
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum
Chengxiang Jin, Jie Jin, Jiajun Zhou +2
While blockchain technology triggers new industrial and technological revolutions, it also brings new challenges. Recently, a large number of new scams with a "blockchain" sock-pup…
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast
Jiajun Zhou, Chenkai Hu, Shenbo Gong +3
Blockchain technology has the characteristics of decentralization, traceability and tamper proof, which creates a reliable decentralized transaction mode, further accelerating the…
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
Jinhuan Wang, Pengtao Chen, Shanqing Yu +1
Blockchain technology and, in particular, blockchain-based transaction offers us information that has never been seen before in the financial world. In contrast to fiat currencies,…
Ponzi Scheme Detection in EthereumTransaction Network
Shanqing Yu, Jie Jin, Yunyi Xie +2
With the rapid growth of blockchain, an increasing number of users have been attracted and many implementations have been refreshed in different fields. Especially in the cryptocur…
Open DNN Box by Power Side-Channel Attack
Yun Xiang, Zhuangzhi Chen, Zuohui Chen +7
Deep neural networks are becoming popular and important assets of many AI companies. However, recent studies indicate that they are also vulnerable to adversarial attacks. Adversar…