The AMASS 2026 workshop aims to bring together researchers, practitioners, and industry experts to advance the state of the art in malware analysis, software security, and threat intelligence. With the rapid evolution of malware ecosystems, automated analysis, and software supply chain threats, there is a pressing need for a focused venue to discuss novel approaches, share tools and datasets, and foster collaborations between academia and industry.
We invite submissions of original research papers, work-in-progress contributions, and industrial case studies in (but not limited to) the following areas:
Malware detection, classification, and lineage analysis
Dynamic and static binary analysis techniques
Reverse engineering methodologies and tools
Malware detection in encrypted traffic
Adversarial machine learning in malware classification
Automated software vulnerability discovery and exploitation prevention
Program analysis, fuzzing, and software hardening techniques
Software supply chain, dependency, and package ecosystem attacks
Secure compilation, code rewriting, and binary instrumentation
Memory-safe language transitions and security implications
AI for malware detection and threat modelling
AI-assisted vulnerability discovery and patch synthesis
LLM-based code auditing and secure code generation
LLMs for secure software engineering workflows
Generative AI for malware creation and countermeasure
Explainable and interpretable AI for security-critical systems
Federated and privacy-preserving ML in malware analysis
Threat intelligence and cybercrime ecosystem modelling
Malware-as-a-Service and AI-powered threat campaigns
Blockchain-based threat tracking and provenance
Human factors in malware development, defence, and awareness
Social engineering and cognitive deception in malware distribution
Security of mobile, embedded, IoT, and cloud-native software systems
Firmware and IoT malware analysis
Edge and federated IoT malware detection
Open datasets and reproducible research in malware analysis and vulnerability analysis
Long Papers: These should be at most 12 pages, including the bibliography and well-marked appendices, using the latest ACM Sigconf style conference template only. Papers should present original research work.
Short Papers: These should be at most 6 pages, including the bibliography and well-marked appendices, using the latest ACM Sigconf style conference template only. Papers can present works in progress, descriptions of available datasets, and data collection efforts.
The reviewers and the program committee members are not required to read the appendices; therefore, the paper should be intelligible without them. All submissions must be written in English. They must not substantially overlap papers that have been published or simultaneously submitted to a journal or a conference with proceedings.
AMASS 2026 will follow a double-blind peer review process, and all papers not desk-rejected will be reviewed by a minimum of three subject experts.
The papers must be submitted electronically. The proceedings of the AMASS workshop will be published in the ACM Digital Library and available during the conference.