Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...
Digital payments have become a part of our everyday lives. However, sometimes payments get stuck or the fear of fraud looms. Fortunately, these issues have become easier to deal with. A great feature ...
Abstract: Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively ...
Abstract: The rapid adoption of the Unified Payments Interface (UPI) in India has significantly transformed the landscape of digital transactions by enabling fast, secure, and seamless payments.
Abstract: The rapid adoption of Unified Payments Interface (UPI) has revolutionized digital payments in India, offering seamless and instant transactions. However, with increased usage, fraudulent ...
Abstract: Development of digital payment systems and the evolution of technology give rise to new frauds. With bogus URLs and QR Codes, phishing poses a major danger to transaction security and ...
Abstract: UPI has transformed the way consumers pay online, making the transaction faster and easier. It is now used for everyday activities such as shopping, bill payment, and money transfers.
Abstract: Binary code analysis is essential in modern cybersecurity, examining compiled program outputs to identify vulnerabilities, detect malware, and ensure software security compliance. However, ...
The National Payments Corporation of India (NPCI) is venturing into the future of "agentic commerce" through a new pilot program with the AI firm Anthropic. This collaboration allows users to delegate ...
Emily Mae Czachor is a reporter and news editor at CBSNews.com. She typically covers breaking news, extreme weather and issues involving social justice. Emily Mae previously wrote for outlets like the ...
FDT/ ├── app/ # Admin backend (FastAPI) │ ├── main.py # Admin dashboard server │ ├── scoring.py # ML ensemble scoring │ ├── fraud_reasons.py # Explainability engine │ ├── feature_engine.py # Feature ...