TY  - BOOK
AU  - Gibian,Davey
TI  - Hacking artificial intelligence: a leader's guide from deepfakes to breaking deep learning 
SN  - 1538155095
AV  - Q335 .G53 2022
U1  - 006.3 23/eng20220223
PY  - 2022///]
CY  - Lanham
PB  - Rowman & Littlefield
KW  - Artificial intelligence
KW  - Information storage and retrieval systems
KW  - Risk management
KW  - Information technology
KW  - Management
KW  - Data privacy
KW  - Data protection
KW  - Artificial Intelligence
KW  - Intelligence artificielle
KW  - Systèmes d'information
KW  - Gestion du risque
KW  - Technologie de l'information
KW  - Gestion
KW  - Protection de l'information (Informatique)
KW  - artificial intelligence
KW  - aat
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references and index; Introduction: Hacking facial recognition -- A brief overview of artificial intelligence -- How AI is different from traditional software -- Data bias -- Hacking AI systems -- Evasion attacks -- Data poisoning -- Model inversion ("privacy") attacks -- Obfuscation attacks -- Talking to AI : model interpretability -- Machine vs. machine -- Will someone hack my AI? -- The machine told us to do it
N2  - "The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. This book sheds light on the many hacking risks, encouraging readers to address problems before they become catastrophic"--
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3241754
ER  -