Scholar4AI

Research ideas tagged “security”

3 research idea notes tagged “security”. Read them as Markdown, JSON or an Atom feed.

economics 116finance 105ai 99management 58operations research 50accounting 36methods 32labor 23energy 18climate 16households 16governance 15banking 14esg 14development 12marketing 11macroeconomics 10trade 10logistics 9market microstructure 9transport 9health 8innovation 8supply chain 8technology 8cities 7ethics 7china 6entrepreneurship 6human resources 6platforms 6politics 6regulation 6crypto 5data 5housing 5agriculture 4audit 4competition 4education 4financial reporting 4healthcare 4inequality 4law 4measurement 4media 4migration 4monetary policy 4operations 4policy 4science 4tax 4decision-making 3environment 3food 3forecasting 3public finance 3retail 3security 3welfare 3asset pricing 2automation 2aviation 2cybersecurity 2demography 2documents 2fixed income 2insurance 2international 2manufacturing 2pensions 2public sector 2publishing 2systemic risk 2
Seed

Prompt injection against financial agents

Prompt injection, jailbreak attacks and LLM security appear on 37 recent papers, all in AI journals. Banks and brokers are deploying agents that read emails, documents and web pages and then act. A hidden instruction in a document can make such an agent move money or leak data. How exposed are deployed financial agents, and which defences hold?

Papers in the last 30 days — prompt injection: 1

Seed

Investment scams on social media

Financial fraud appears on 48 recent papers, but most study fraud by firms or fraud detection in transactions; only 6 carry a social-media, crypto, elderly or victim keyword, and "fraud victimization" on 5. Investment scams run through social platforms now cost households billions. Who falls for them, and what stops them?

Papers in the last 30 days — financial fraud: 1 · investor protection: 2

Seed

Deepfake detection outside the lab

Deepfake detection appears on 45 recent papers and AI-generated image detection on 13, almost all in AI journals, with 23 papers in the last quarter against about 21 per quarter before. Detectors score well on the datasets they were built with and fail on the next generator. How well do they work on real fraud, elections and markets, and who should run them?

Papers in the last 30 days — deepfake detection: 1