Yan Shoshitaishvili — accepted AI-conference papers

2025

ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection

Marzieh Bitaab, Alireza Karimi, Zhuoer Lyu, Ahmadreza Mosallanezhad, Adam Oest, Ruoyu Wang +3

AAAI 2025technical

Fraudulent shopping websites pose a significant threat to online consumers and legitimate businesses: in 2023, victims of such scams reported $392 million in losses to the Federal Trade Commission. This alarming trend not only impacts individuals but also erodes societal trust in e-commerce, necessi…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti +40

ICML 2024poster

The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and chemical weapons. To measure these risks, government institutions and major AI labs are developing evaluations for hazardou…

Cited by 145 Source ↗PDF ↗Scholar ↗