4 citations · 8 across the 4 of their papers we have counts for
4 papers
Challenging the adversarial robustness of DNNs based on error-correcting output codes
Bowen Zhang, Benedetta Tondi, Xixiang Lv +1
The existence of adversarial examples and the easiness with which they can be generated raise several security concerns with regard to deep learning systems, pushing researchers to…
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples
Mauro Barni, Ehsan Nowroozi, Benedetta Tondi +1
We investigate if the random feature selection approach proposed in [1] to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on d…
Attacking CNN-based anti-spoofing face authentication in the physical domain
Bowen Zhang, Benedetta Tondi, Mauro Barni
In this paper, we study the vulnerability of anti-spoofing methods based on deep learning against adversarial perturbations. We first show that attacking a CNN-based anti-spoofing…
Malicious Web Request Detection Using Character-level CNN
Wei Rong, Bowen Zhang, Xixiang Lv
Web parameter injection attacks are common and powerful. In this kind of attacks, malicious attackers can employ HTTP requests to implement attacks against servers by injecting som…