Since its inception in 1997, the International Symposium on Research in Attacks, Intrusions and Defenses (RAID) has established itself as a venue where leading researchers and practitioners from academia, industry, and the government are given the opportunity to present novel research in a unique venue to an engaged and lively community.

The conference is known for the quality and thoroughness of the reviews of the papers submitted, the desire to build a bridge between research carried out in different communities, and the emphasis given on the need for sound experimental methods and measurement to improve the state of the art in cybersecurity.

We are soliciting research papers on topics covering all well-motivated computer security problems. We care about techniques that identify new real-world threats, techniques to prevent them, to detect them, to mitigate them or to assess their prevalence and their consequences. Measurement papers are encouraged, as well as papers offering public access to new tools or datasets, or experience papers that clearly articulate important lessons learned

Specific topics of interest to RAID include, but are not limited to:

Cloud security
Cybercrime and underground economies
Cyber-physical systems security and threats against critical infrastructures
Denial-of-Service attacks and defenses
Digital forensics
Hardware security
Intrusion detection and prevention
IoT security
Machine learning for security
Malware and unwanted software
Mobile security and privacy
Network security
Program analysis and reverse engineering
Security education and training
Security measurement studies
Security of machine learning systems
Software security
Systems security
Statistical and adversarial learning for computer security
Usable security and privacy
Vulnerability analysis and exploitation techniques
Web security and privacy
Papers will be judged on novelty, significance, correctness, and clarity. We expect all papers to provide enough detail to enable the reproducibility of their experimental results. We encourage authors to make both the tools and data publicly available.

More information is available at https://raid2025.github.io/.