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Cavallaro, Lorenzo
357  Ergebnisse:
Personensuche X
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1

Identifying Authorship in Malicious Binaries: Features, Cha..:

Gray, Jason ; Sgandurra, Daniele ; Cavallaro, Lorenzo.
ACM Computing Surveys.  56 (2024)  8 - p. 1-36 , 2024
Link: https://doi.org/10.1145/..
 
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2

Drift Forensics of Malware Classifiers:

, In: Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security,
Chow, Theo ; Kan, Zeliang ; Linhardt, Lorenz... - p. 197-207 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Poster: RPAL-Recovering Malware Classifiers from Data Poiso..:

, In: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security,
McFadden, Shae ; Kan, Zeliang ; Cavallaro, Lorenzo. - p. 3561-3563 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware..:

, In: 2023 IEEE Symposium on Security and Privacy (SP),
Yang, Limin ; Chen, Zhi ; Cortellazzi, Jacopo... - p. 719-736 , 2023
Link: https://doi.org/10.1109/..
 
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5

Is It Overkill? Analyzing Feature-Space Concept Drift in Ma..:

, In: 2023 IEEE Security and Privacy Workshops (SPW),
Chen, Zhi ; Zhang, Zhenning ; Kan, Zeliang... - p. 21-28 , 2023
Link: https://doi.org/10.1109/..
 
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6

ROPfuscator: Robust Obfuscation with ROP:

, In: 2023 IEEE Security and Privacy Workshops (SPW),
De Pasquale, Giulio ; Nakanishi, Fukutomo ; Ferla, Daniele. - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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7

Lessons Learned on Machine Learning for Computer Security:

Arp, Daniel ; Quiring, Erwin ; Pendlebury, Feargus...
IEEE Security & Privacy.  21 (2023)  5 - p. 72-77 , 2023
Link: https://doi.org/10.1109/..
 
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8

DFIL: Deepfake Incremental Learning by Exploiting Domain-in..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,
Pan, Kun ; Yin, Yifang ; Wei, Yao... - p. 8035-8046 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

Locate and Verify: A Two-Stream Network for Improved Deepfa..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,
Shuai, Chao ; Zhong, Jieming ; Wu, Shuang... - p. 7131-7142 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

Cross-Modal and Multi-Attribute Face Recognition: A Benchma..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,
Lin, Feng ; fu, Kaiqiang ; Luo, Hao... - p. 271-279 , 2023
Link: https://dl.acm.org/doi/1..
 
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11

Are Machine Learning Models for Malware Detection Ready for..:

Cavallaro, Lorenzo ; Kinder, Johannes ; Pendlebury, Feargus.
IEEE Security & Privacy.  21 (2023)  2 - p. 53-56 , 2023
Link: https://doi.org/10.1109/..
 
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12

Designing a Provenance Analysis for SGX Enclaves:

, In: Proceedings of the 38th Annual Computer Security Applications Conference,
Toffalini, Flavio ; Payer, Mathias ; Zhou, Jianying. - p. 102-116 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Detection of Intrusions and Malware, and Vulnerability Asse.. 

Lecture Notes in Computer Science, 13358
Cavallaro, Lorenzo ; Gruss, Daniel ; Pellegrino, Giancarlo. - 1st ed. 2022 . , 2022
Link: https://doi.org/10.1007/..
 
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14

Transcending TRANSCEND: Revisiting Malware Classification i..:

, In: 2022 IEEE Symposium on Security and Privacy (SP),
Barbero, Federico ; Pendlebury, Feargus ; Pierazzi, Fabio. - p. 805-823 , 2022
Link: https://doi.org/10.1109/..
 
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15

Accurate and Reliable Labeling for Effective Detection of A..:

Salem, Aleieldin , 2021
Link: http://nbn-resolving.de/..
 
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