TY  - JOUR
AU  - Jiang, Donghua
AU  - Ahmad, Jawad
PY  - 2026
DA  - 2026/03/02
TI  - Towards a Secure Future: Security Challenges for Deep Learning, AI, and Foundation Models in the Next Decade
JO  - ICCK Transactions on Information Security and Cryptography
T2  - ICCK Transactions on Information Security and Cryptography
JF  - ICCK Transactions on Information Security and Cryptography
VL  - 2
IS  - 2
SP  - 70
EP  - 72
DO  - 10.62762/TISC.2025.709595
UR  - https://www.icck.org/article/abs/TISC.2025.709595
KW  - AI Security
KW  - Trustworthy AI
AB  - This editorial argues that as deep learning and foundation models permeate high-stakes domains, AI security must evolve into a rigorous, end-to-end discipline—prioritizing adaptive robustness, lifecycle integrity, privacy safeguards, and system-level governance—to ensure these powerful systems remain trustworthy under adversarial pressure.
SN  - 3070-2429
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Jiang2026Towards,
  author = {Donghua Jiang and Jawad Ahmad},
  title = {Towards a Secure Future: Security Challenges for Deep Learning, AI, and Foundation Models in the Next Decade},
  journal = {ICCK Transactions on Information Security and Cryptography},
  year = {2026},
  volume = {2},
  number = {2},
  pages = {70-72},
  doi = {10.62762/TISC.2025.709595},
  url = {https://www.icck.org/article/abs/TISC.2025.709595},
  abstract = {This editorial argues that as deep learning and foundation models permeate high-stakes domains, AI security must evolve into a rigorous, end-to-end discipline—prioritizing adaptive robustness, lifecycle integrity, privacy safeguards, and system-level governance—to ensure these powerful systems remain trustworthy under adversarial pressure.},
  keywords = {AI Security, Trustworthy AI},
  issn = {3070-2429},
  publisher = {Institute of Central Computation and Knowledge}
}