Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning /: a leader's guide from deepfakes to breaking deep learning. (2022)
- Record Type:
- Book
- Title:
- Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning /: a leader's guide from deepfakes to breaking deep learning. (2022)
- Main Title:
- Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning
- Further Information:
- Note: Davey Gibian.
- Authors:
- Gibian, Davey, 1988-
- Contents:
- Introduction: Hacking facial recognition Chapter 1: A brief overview of artificial intelligence Chapter 2: How AI is different from traditional software Chapter 3: Data bias Chapter 4: Hacking AI systems Chapter 5: Evasion Attacks Chapter 6: Data Poisoning Chapter 7: Model Inversion (“Privacy”) Attacks Chapter 8: Obfuscation attacks Chapter 9: Talking to AI: Model interpretability Chapter 10: Machine vs. machine Chapter 11: Will someone hack my AI? About the Author
- Publisher Details:
- Lanham : Rowman & Littlefield Publishers
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 006.3
Artificial intelligence
Information storage and retrieval systems -- Risk management
Information technology -- Management
Data privacy
Data protection - Languages:
- English
- ISBNs:
- 9781538155097
- Related ISBNs:
- 9781538155080
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.749059
- Ingest File:
- 16_011.xml