Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem

6 March 2024

Papers citing "Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem"

8 / 8 papers shown

Title
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 32 0 0 27 Sep 2024
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning Fabio De Gaspari Dorjan Hitaj Luigi V. Mancini AAML TDI 17 4 0 20 Mar 2024
DOLOS: A Novel Architecture for Moving Target Defense Giulio Pagnotta Fabio De Gaspari Dorjan Hitaj M. Andreolini M. Colajanni L. Mancini AAML 16 12 0 01 Mar 2023
Minerva: A File-Based Ransomware Detector Dorjan Hitaj Giulio Pagnotta Fabio De Gaspari Lorenzo De Carli L. Mancini AAML 11 8 0 26 Jan 2023
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 513 0 06 Dec 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,344 0 12 Dec 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,357 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016