Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models

Author:

Ousat Behzad1ORCID,Luo Dongsheng1ORCID,Kharraz Amin1ORCID

Affiliation:

1. Florida International University, Miami, USA

Funder

CITES/IUCRC

Publisher

ACM

Reference16 articles.

1. BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection

2. Babak Amin Azad, Pierre Laperdrix, and Nick Nikiforakis. 2019. Less is more: quantifying the security benefits of debloating web applications. In 28th USENIX Security Symposium (USENIX Security 19). 1697--1714.

3. Cara Malone. 2023. Online Payment Fraud: Market Forcasts, Emerging Threats and Segment Analysis, 2023--2029. https://www.juniperresearch.com/researchstore/fintech-payments/online-payment-fraud-research-report/.

4. Zi Chu, Steven Gianvecchio, and Haining Wang. 2018. Bot or human? A behavior-based online bot detection system. From Database to Cyber Security: Essays Dedicated to Sushil Jajodia on the Occasion of His 70th Birthday (2018), 432--449.

5. Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy. 2014. Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014).

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