This AI can tell a real online review from a fake one, and it’s surprisingly accurate

A new AI system combines text, images, and reviewer behavior to detect fake online reviews with over 94% accuracy, outperforming every existing method it was tested against.

Websites have a new way to spy on visitors: Analyzing their SSD activity

Now sites have a new way to spy on their visitors: measuring subtle interactions with their solid-state drives. The technique ...
Geeky Gadgets

DeepSWE AI Coding Model Benchmark Finally Solves AI Training Data Contamination

DeepSWE, created by DataCurve offers a benchmark for assessing AI coding models by focusing on real-world programming challenges rather than synthetic test cases. According to Matthew Berman, one of ...
Microsoft

Malicious npm packages abuse dependency confusion to profile developer environments

A dependency confusion campaign leveraged 33 malicious npm packages to collect reconnaissance data from developer and build environments. This report details the attack chain, observed tradecraft, and ...
IEEE

Enhanced Instagram Spam Detection Using Convolutional Attention Networks with Water Wave Optimization-Based Fine-Tuning

Abstract: Worldwide economies are vulnerable to financial fraud, which costs people and companies billions of dollars yearly. Conventional ways of detecting fraud are inadequate in this age of ...
IEEE

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing

Abstract: Code retrieval, which retrieves code snippets based on users' natural language descriptions, is widely used by devel-opers and plays a pivotal role in real-world software development. The ...
GitHub

write_file_tests.py

write_file(TEST_DIR, TEST_FILE, "a=1\n", mode="write") write_file(TEST_DIR, TEST_FILE, "b=2\n", mode="append") assert read_file() == "a=1\nb=2\n" write_file(TEST_DIR ...