Adversarial attacks and robust defenses in deep learning
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Handbook of Statistics |
| Subtitle of host publication | Deep Learning |
| Editors | Venu Govindaraju, Arni S.R. Srinivasa Rao, C.R. Rao |
| Publisher | Elsevier |
| Chapter | 3 |
| Pages | 29-58 |
| Number of pages | 30 |
| Volume | 48 |
| ISBN (print) | 978-0-443-18430-7 |
| Publication status | Published - 2023 |
| Externally published | Yes |
Publication series
| Name | Handbook of Statistics |
|---|---|
| Volume | 48 |
| ISSN (Print) | 0169-7161 |
Link(s)
Abstract
Deep learning models have shown exceptional performance in many applications, including computer vision, natural language processing, and speech processing. However, if no defense strategy is considered, deep learning models are vulnerable to adversarial attacks. In this chapter, we will first describe various typical adversarial attacks. Then we will describe different adversarial defense methods for image classification and object detection tasks.
© 2023 Elsevier B.V. All rights reserved.
© 2023 Elsevier B.V. All rights reserved.
Research Area(s)
- Adversarial attacks, Deep learning, Defenses against adversarial attacks
Bibliographic Note
Publisher Copyright:
© 2023 Elsevier B.V.
Citation Format(s)
Adversarial attacks and robust defenses in deep learning. / Lau, Chun Pong; Liu, Jiang; Lin, Wei-An et al.
Handbook of Statistics: Deep Learning. ed. / Venu Govindaraju; Arni S.R. Srinivasa Rao; C.R. Rao. Vol. 48 Elsevier, 2023. p. 29-58 (Handbook of Statistics; Vol. 48).
Handbook of Statistics: Deep Learning. ed. / Venu Govindaraju; Arni S.R. Srinivasa Rao; C.R. Rao. Vol. 48 Elsevier, 2023. p. 29-58 (Handbook of Statistics; Vol. 48).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
