Referenz
Apruzzese, G., Anderson, H. S., Dambra, S., Freeman, D., Pierazzi, F., & Roundy, K. A. (2023). "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. Paper presented at the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, North Carolina, USA.
Publikationsart
Beitrag in Konferenztagungsband
Mitarbeiter
Einrichtungen
- Liechtenstein Business School