most citedFedSSO: A Federated Server-Side Second-Order Optimization Algorithm

7 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023

GraphMoco:a Graph Momentum Contrast Model that Using Multimodel Structure Information for Large-scale Binary Function Representation Learning

Sun Runjin, Guo ShiZe, Li Wei +3

In the field of cybersecurity, the ability to compute similarity scores at the function level is import. Considering that a single binary file may contain an extensive amount of fu…

cs.CR2022★ 1 cited

Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection

Sun RuiJin, Guo ShiZe, Guo JinHong +4

Deep neural networks (DNNs) are increasingly being applied in malware detection and their robustness has been widely debated. Traditionally an adversarial example generation scheme…

cs.CR2022

SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings

Sun RuiJin, Guo Shize, Guo Jinhong +4

Function-level binary code similarity detection is a crucial aspect of cybersecurity. It enables the detection of bugs and patent infringements in released software and plays a piv…

cs.NI2022

A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering

Xin Ma, Shize Guo, Zhisong Pan +4

A covert attack method often used by APT organizations is the DNS tunnel, which is used to pass information by constructing C2 networks. And they often use the method of frequently…

cs.LG2022★ 7 cited

FedSSO: A Federated Server-Side Second-Order Optimization Algorithm

Xin Ma, Renyi Bao, Jinpeng Jiang +5

In this work, we propose FedSSO, a server-side second-order optimization method for federated learning (FL). In contrast to previous works in this direction, we employ a server-sid…

cs.AI2022★ 4 cited

Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning

Lei Zhang, Yu Pan, Yi Liu +2

The existing network attack and defense method can be regarded as game, but most of the game only involves network domain, not multiple domain cyberspace. To address this challenge…

cs.AI2022★ 1 cited

KGRGRL: A User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning

Lei Zhang, Yu Pan, Yi Liu +2

In general, multiple domain cyberspace security assessments can be implemented by reasoning user's permissions. However, while existing methods include some information from the ph…