Digital Forensics Investigation for Attacks on Artificial Intelligence
- Title
- Digital Forensics Investigation for Attacks on Artificial Intelligence
- Creator
- Manasa S.; Kumar K.P.
- Description
- The new research approaches are needed to be adopted to deal with security threats in AI based systems. This research is aimed at investigating the Artificial Intelligence (AI) attacks that are malicious by design. It also deals with conceptualization of the problem and strategies for attacks on Artificial Intelligence (AI) using Digital Forensic tools. A specific class of problems in Adversarial attacks are tampering of Images for computational processing in applications of Digital Photography, Computer Vision, Pattern Recognition (Facial Mapping algorithms). State-of-the-art developments in forensics such as 1. Application of end-to-end Neural Network Training pipeline for image rendering and provenance analysis, 2. Deep-fake image analysis using frequency methods, wavelet analysis & tools like - Amped Authenticate, 3. Capsule networks for detecting forged images 4. Information transformation for Feature extraction via Image Forensic tools such as EXIF-SC, Splice Radar, Noiseprint 5. Application of generative adversarial Networks (GAN) based models as anti-Image Forensics [8], will be studied in great detail and a new research approach will be designed incorporating these advancements for utility of Digital Forensics. The Electrochemical Society
- Source
- ECS Transactions, Vol-107, No. 1, pp. 19639-19645.
- Date
- 2022-01-01
- Publisher
- Institute of Physics
- Coverage
- Manasa S., Dept. of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Kumar K.P., Dept. of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 19386737; ISBN: 978-160768539-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Manasa S.; Kumar K.P., “Digital Forensics Investigation for Attacks on Artificial Intelligence,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20292.