Defense against adversarial attacks: robust and efficient compressed optimized neural networks
<p dir="ltr">In the ongoing battle against adversarial attacks, adopting a suitable strategy to enhance model efficiency, bolster resistance to adversarial threats, and ensure practical deployment is crucial. To achieve this goal, a novel four-component methodology is introduced. Fir...
Saved in:
| Main Author: | Insaf Kraidia (19198012) (author) |
|---|---|
| Other Authors: | Afifa Ghenai (19198015) (author), Samir Brahim Belhaouari (9427347) (author) |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A3T: accuracy aware adversarial training
by: Enes Altinisik (17725956)
Published: (2023) -
Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning
by: Atef H. Bondok (19482352)
Published: (2023) -
Audio-deepfake detection: Adversarial attacks and countermeasures
by: Mouna Rabhi (17086969)
Published: (2024) -
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art
by: Chakraborty, Tanujit
Published: (2024) -
A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets
by: Insaf Kraidia (19198012)
Published: (2025)