Search Results for author: Daniel Arp

Found 8 papers, 3 papers with code

Misleading Deep-Fake Detection with GAN Fingerprints

1 code implementation25 May 2022 Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring

In particular, we show that an adversary can remove indicative artifacts, the GAN fingerprint, directly from the frequency spectrum of a generated image.

Dos and Don'ts of Machine Learning in Computer Security

no code implementations19 Oct 2020 Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas.

BIG-bench Machine Learning Computer Security +1

Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]

no code implementations5 Nov 2019 Jacopo Cortellazzi, Feargus Pendlebury, Daniel Arp, Erwin Quiring, Fabio Pierazzi, Lorenzo Cavallaro

Secondly, building on our general formalization, we propose a novel problem-space attack on Android malware that overcomes past limitations in terms of semantics and artifacts.

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

no code implementations28 Apr 2017 Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli

To cope with the increasing variability and sophistication of modern attacks, machine learning has been widely adopted as a statistically-sound tool for malware detection.

Cryptography and Security

Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking

no code implementations16 Mar 2017 Erwin Quiring, Daniel Arp, Konrad Rieck

This problem has motivated the research field of adversarial machine learning that is concerned with attacking and defending learning methods.

Autonomous Driving BIG-bench Machine Learning +3

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