E-LIB Suche - Ergebnisse für: SCALAS, MICHELE

1

Improving malware detection with explainable machine learni..:

, In: Explainable Deep Learning AI,

Scalas, Michele ; Rieck, Konrad ; Giacinto, Giorgio - p. 217-238 , 2023

Link: https://doi.org/10.1016/..

2

List of contributors:

, In: Explainable Deep Learning AI,

Abdiyeva, Kamila ; Ahuja, Narendra ; Anneken, Mathias... - p. xi-xiv , 2023

Link: https://doi.org/10.1016/..

3

Do gradient-based explanations tell anything about adversar..:

Melis, Marco ; Scalas, Michele ; Demontis, Ambra...
International Journal of Machine Learning and Cybernetics. 13 (2021) 1 - p. 217-232 , 2021

Link: https://doi.org/10.1007/..

4

Explanation-Driven Characterization of Android Ransomware:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,

Scalas, Michele ; Rieck, Konrad ; Giacinto, Giorgio - p. 228-242 , 2021

Link: https://doi.org/10.1007/..

5

On the Role of Explainable Machine Learning for Secure Smar..:

, In: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE),

Scalas, Michele ; Giacinto, Giorgio - p. 1-6 , 2020

Link: https://doi.org/10.23919..

6

On the Feasibility of Adversarial Sample Creation Using the..:

Cara, Fabrizio ; Scalas, Michele ; Giacinto, Giorgio.
Information. 11 (2020) 9 - p. 433 , 2020

Link: https://doi.org/10.3390/..

7

On the effectiveness of system API-related information for ..:

Scalas, Michele ; Maiorca, Davide ; Mercaldo, Francesco...
Computers & Security. 86 (2019) - p. 168-182 , 2019

Link: https://doi.org/10.1016/..

8

Automotive Cybersecurity: Foundations for Next-Generation V..:

, In: 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS),

Scalas, Michele ; Giacinto, Giorgio - p. 1-6 , 2019

Link: https://doi.org/10.1109/..

9

Malware Analysis and Detection with Explainable Machine Lea..:

SCALAS, MICHELE
http://hdl.handle.net/11584/310630. , 2021

Link: http://hdl.handle.net/11..

10

Do Gradient-based Explanations Tell Anything About Adversar..:

Melis, Marco ; Scalas, Michele ; Demontis, Ambra...
http://arxiv.org/abs/2005.01452. , 2020

Link: http://arxiv.org/abs/200..

11

On the Feasibility of Adversarial Sample Creation Using the..:

Cara, Fabrizio ; Scalas, Michele ; Giacinto, Giorgio.
info:eu-repo/semantics/altIdentifier/wos/WOS:000587291500001. , 2020

Link: http://hdl.handle.net/11..

12

On the effectiveness of system API-related information for ..:

SCALAS, MICHELE ; Maiorca, Davide ; Mercaldo, Francesco...
info:eu-repo/semantics/altIdentifier/wos/WOS:000483406200010. , 2019

Link: http://hdl.handle.net/11..

13

Automotive Cybersecurity: Foundations for Next-Generation V..:

Scalas, Michele ; Giacinto, Giorgio
http://arxiv.org/abs/1910.01037. , 2019

Link: http://arxiv.org/abs/191..

14

On the Effectiveness of System API-Related Information for ..:

Scalas, Michele ; Maiorca, Davide ; Mercaldo, Francesco...
http://arxiv.org/abs/1805.09563. , 2018

Link: http://arxiv.org/abs/180..

15

On the Feasibility of Adversarial Sample Creation Using the..:

Fabrizio Cara ; Michele Scalas ; Giorgio Giacinto.
https://www.mdpi.com/2078-2489/11/9/433. , 2020

Link: https://doi.org/10.3390/..