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Arp, Daniel J.
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1

Listening Between the Bits: Privacy Leaks in Audio Fingerpr..:

, In: Detection of Intrusions and Malware, and Vulnerability Assessment; Lecture Notes in Computer Science,
Pfister, Moritz ; Michael, Robert ; Boll, Max... - p. 184-204 , 2024
Link: https://doi.org/10.1007/..
 
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2

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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3

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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4

Misleading Deep-Fake Detection with GAN Fingerprints:

, In: 2022 IEEE Security and Privacy Workshops (SPW),
Wesselkamp, Vera ; Rieck, Konrad ; Arp, Daniel. - p. 59-65 , 2022
Link: https://doi.org/10.1109/..
 
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5

Quantifying the Risk of Wormhole Attacks on Bluetooth Conta..:

, In: Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy,
Czybik, Stefan ; Arp, Daniel ; Rieck, Konrad - p. 264-275 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

Spying through Virtual Backgrounds of Video Calls:

, In: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security,
Hilgefort, Jan Malte ; Arp, Daniel ; Rieck, Konrad - p. 135-144 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Evaluating Explanation Methods for Deep Learning in Securit:

, In: 2020 IEEE European Symposium on Security and Privacy (EuroS&P),
Warnecke, Alexander ; Arp, Daniel ; Wressnegger, Christian. - p. 158-174 , 2020
Link: https://doi.org/10.1109/..
 
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8

Remembering Donald J. Armstrong (1937–2019):

Naithani, Sushma ; Arp, Daniel ; Ciuffetti, Lynda...
Current Plant Biology.  20 (2019)  - p. 100130 , 2019
Link: https://doi.org/10.1016/..
 
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9

Yes, Machine Learning Can Be More Secure! A Case Study on A..:

Demontis, Ambra ; Melis, Marco ; Biggio, Battista...
IEEE Transactions on Dependable and Secure Computing.  16 (2019)  4 - p. 711-724 , 2019
Link: https://doi.org/10.1109/..
 
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10

Forgotten Siblings: Unifying Attacks on Machine Learning an..:

, In: 2018 IEEE European Symposium on Security and Privacy (EuroS&P),
Quiring, Erwin ; Arp, Daniel ; Rieck, Konrad - p. 488-502 , 2018
Link: https://doi.org/10.1109/..
 
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11

Mining Attributed Graphs for Threat Intelligence:

, In: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy,
Gascon, Hugo ; Grobauer, Bernd ; Schreck, Thomas... - p. 15-22 , 2017
Link: https://dl.acm.org/doi/1..
 
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12

Stress response of a marine ammonia-oxidizing archaeon info..:

Qin, Wei ; Amin, Shady A ; Lundeen, Rachel A...
The ISME Journal.  12 (2017)  2 - p. 508-519 , 2017
Link: https://doi.org/10.1038/..
 
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13

Privacy Threats through Ultrasonic Side Channels on Mobile ..:

, In: 2017 IEEE European Symposium on Security and Privacy (EuroS&P),
Arp, Daniel ; Quiring, Erwin ; Wressnegger, Christian. - p. 35-47 , 2017
Link: https://doi.org/10.1109/..
 
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14

VCCFinder : Finding Potential Vulnerabilities in Open-So..:

, In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security,
Perl, Henning ; Dechand, Sergej ; Smith, Matthew... - p. 426-437 , 2015
Link: https://dl.acm.org/doi/1..
 
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15

Nitrobacter winogradskyi transcriptomic response to low and..:

Sayavedra-Soto, Luis ; Ferrell, Rebecca ; Dobie, Michael...
FEMS Microbiology Letters.  362 (2015)  3 - p. 1-7 , 2015
Link: https://doi.org/10.1093/..
 
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