Versatile Defense Against Adversarial Attacks on Image Recognition

arXiv:2403.08170v1 Announce Type: new
Abstract: Adversarial attacks present a significant security risk to image recognition tasks. Defending against these attacks in a real-life setting can be compared to the way antivirus software works, with a key consideration being how well the defense can adapt to new and evolving attacks. Another important factor is the resources involved in terms of time and cost for training defense models and updating the model database. Training many models that are specific to each type …

abstract adapt adversarial adversarial attacks antivirus software arxiv attacks cs.cv defense eess.iv image image recognition key life recognition risk security software tasks the way type