TY - GEN
T1 - Defenses Against Artificial Intelligence Attacks
AU - Tsikerdekis, Michail
AU - Zeadally, Sherali
AU - Katib, Iyad
N1 - Publisher Copyright:
© 1970-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - The integration of artificial intelligence has led to significant advancements across industries but also exposed systems to security vulnerabilities. We evaluate defense methods, including robust data practices, adversarial training, model hardening, fairness-aware algorithms, and privacy-preserving techniques, and highlight each method’s effectiveness in addressing specific vulnerabilities.
AB - The integration of artificial intelligence has led to significant advancements across industries but also exposed systems to security vulnerabilities. We evaluate defense methods, including robust data practices, adversarial training, model hardening, fairness-aware algorithms, and privacy-preserving techniques, and highlight each method’s effectiveness in addressing specific vulnerabilities.
UR - http://www.scopus.com/inward/record.url?scp=105003895747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105003895747&partnerID=8YFLogxK
U2 - 10.1109/MC.2024.3420782
DO - 10.1109/MC.2024.3420782
M3 - Article
AN - SCOPUS:105003895747
SN - 0018-9162
VL - 57
SP - 49
EP - 59
JO - Computer
JF - Computer
ER -