Cover Image

JANUS: A Difference-Oriented Analyzer For Financial Centralization Risks in Smart Contracts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wansen, Zhang, Pu, Ji, Renjie, Huang, Wenchao, Meng, Zhaoyi, Xiong, Yan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Automated Analyzer for Financial Security of Ethereum Smart Contracts
by: Wang, Wansen, et al.
Published: (2022)

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
by: Wang, Wansen, et al.
Published: (2024)

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)

Knowledge Migration Framework for Smart Contract Vulnerability Detection
by: Wang, Luqi, et al.
Published: (2024)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024)

Vulnerability Detection in Smart Contracts: A Comprehensive Survey
by: De Baets, Christopher, et al.
Published: (2024)

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
by: Sun, Guokai, et al.
Published: (2025)

ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain
by: Li, Zhikai, et al.
Published: (2024)

Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
by: Ressi, Dalila, et al.
Published: (2024)

EVMbench: Evaluating AI Agents on Smart Contract Security
by: Wang, Justin, et al.
Published: (2026)

ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment
by: Dai, Tran Duong Minh, et al.
Published: (2026)

Integrating Feature Attention and Temporal Modeling for Collaborative Financial Risk Assessment
by: Yao, Yue, et al.
Published: (2025)

Real-Time Privacy Risk Measurement with Privacy Tokens for Gradient Leakage
by: Meng, Jiayang, et al.
Published: (2025)

Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
by: Xu, Renjie, et al.
Published: (2024)

Analyzing Inference Privacy Risks Through Gradients in Machine Learning
by: Li, Zhuohang, et al.
Published: (2024)

BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
by: Lee, Uisang, et al.
Published: (2025)

Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation
by: Tan, Zhizhong, et al.
Published: (2025)

Knowledge Return Oriented Prompting (KROP)
by: Martin, Jason, et al.
Published: (2024)

Detecting Financial Bots on the Ethereum Blockchain
by: Niedermayer, Thomas, et al.
Published: (2024)

DPack: Efficiency-Oriented Privacy Budget Scheduling
by: Tholoniat, Pierre, et al.
Published: (2022)

Embedding Attack Project (Work Report)
by: Pu, Jiameng, et al.
Published: (2024)

LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
by: Wei, Zhiyuan, et al.
Published: (2024)

Automation of Smart Homes with Multiple Rule Sources
by: Eran, Kaufman, et al.
Published: (2024)

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts
by: Abdelaziz, Tamer, et al.
Published: (2023)

TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
by: Yuan, Hanyang, et al.
Published: (2024)

Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
by: Mia, Maraz, et al.
Published: (2024)

SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
by: Fenaux, Lucas, et al.
Published: (2024)

Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
by: Malik, Cyrus, et al.
Published: (2025)

Secure Supervised Learning-Based Smart Home Authentication Framework
by: Sudha, K. Swapna, et al.
Published: (2024)

Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
by: Cai, Kunlin, et al.
Published: (2023)

Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce
by: Brodzinski, Carl E. J.
Published: (2024)

Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
by: Abadi, Aydin, et al.
Published: (2024)

Rapid LoRA Aggregation for Wireless Channel Adaptation in Open-Set Radio Frequency Fingerprinting
by: Zhang, Mingxi, et al.
Published: (2026)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
by: Wan, Jialin, et al.
Published: (2025)

Development of an Adapter for Analyzing and Protecting Machine Learning Models from Competitive Activity in the Networks Services
by: Parfenov, Denis, et al.
Published: (2025)

HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
by: Xu, Wen, et al.
Published: (2026)

Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
by: Cui, Ziyao, et al.
Published: (2025)