Memory corruption errors in C/C++ programs remain the most common source of security
vulnerabilities in today's systems. Control-flow hijacking attacks exploit memory corruption …

Class-incremental learning (CIL) aims to adapt to emerging new classes without forgetting
old ones. Traditional CIL models are trained from scratch to continually acquire knowledge …

Novel classes frequently arise in our dynamically changing world, eg, new users in the
authentication system, and a machine learning model should recognize new classes without …

Deep models, eg, CNNs and Vision Transformers, have achieved impressive achievements
in many vision tasks in the closed world. However, novel classes emerge from time to time in …

Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

The maturation of the Web platform has given rise to sophisticated and demanding Web
applications such as interactive 3D visualization, audio and video software, and games. With …

As control-flow hijacking defenses gain adoption, it is important to understand the remaining
capabilities of adversaries via memory exploits. Non-control data exploits are used to mount …

We present VC3, the first system that allows users to run distributed MapReduce
computations in the cloud while keeping their code and data secret, and ensuring the …

Control-Flow Bending: On the Effectiveness of Control-Flow Integrity Page 1 Open access to
the Proceedings of the 24th USENIX Security Symposium is sponsored by USENIX Control-Flow …

In this chapter, we describe code-pointer integrity (CPI), a new design point that guarantees
the integrity of all code pointers in a program (eg, function pointers, saved return addresses) …