Cryptographic API misuses, such as exposed secrets, predictable random numbers, and
vulnerable certificate verification, seriously threaten software security. The vision of …

Security vulnerabilities are among the most critical software defects in existence. When
identified, programmers aim to produce patches that prevent the vulnerability as quickly as …

Today's software systems are increasingly relying on the “power of the crowd” to identify new
security vulnerabilities. And yet, it is not well understood how reproducible the crowd …

End-host runtime monitors (eg, CFI, system call IDS) flag processes in response to
symptoms of a possible attack. Unfortunately, the symptom (eg, invalid control transfer) may …

The increasing cost of successful cyberattacks has caused a mindset shift, whereby
defenders now employ proactive defenses, namely software bug hunting, alongside existing …

This research paper brings together many different aspects of the current research on
several fields associated to Reinforcement Learning which has been growing rapidly …

Deep reinforcement learning has demonstrated flexibility advantages in the control field of
quadrotor aircraft. However, when there are sudden disturbances in the environment …

As the technological advances mature towards widespread adoption of Internet of Things
(IoT) and Cyber Physical Systems (CPS), there come new security challenges …

Cryptographic implementation errors in popular open source libraries (eg, OpenSSL,
GnuTLS, BotanTLS, etc.) and the misuses of cryptographic primitives (eg, as in Juniper …

Cryptographic protocols are often expected to be provably secure. However, this security
guarantee often falls short in practice due to various implementation flaws. We propose a …