To help support the reproducibility for research results, ACSAC encourages authors of accepted papers to submit software they develop and datasets they use to perform their research and make them publicly available to the entire community. We believe that this is an important initiative that can help the entire community increase its reputation, and make research in the security field proceeds faster by taking advantage of systems previously built by other researchers. We thank all the authors who participated in this initiative, now in its third year!
For more details on the artifact evaluations process, please refer to the Call for Paper Artifacts.
Link Legend: GitHub Web archive
The artifacts associated with the research are found to be documented, consistent, complete, exercisable, and include appropriate evidence of verification and validation.
- ReCFA: Resilient Control-Flow Attestation
- Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
- Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification
- Detecting Audio Adversarial Examples with Logit Noising
- CommanderGabble: A Universal Attack Against ASR Systems Leveraging Fast Speech
- VIA: Analyzing Device Interfaces of Protected Virtual Machines
- A formal analysis of IKEv2's post-quantum extension
- RingRAM: A Unified Hardware Security Primitive for IoT Devices that Gets Better with Age
- Sipster: Settling IOU of Smart Meters Privately and Quickly
- Eluding ML-based Adblockers With Actionable Adversarial Examples
- What's in a Cyber Threat Intelligence sharing platform? A mixed-methods user experience investigation of MISP
The artifacts associated with the paper are of a quality that significantly exceeds minimal functionality. That is, they have all the qualities of the Artifacts Evaluated – Functional level, but, in addition, they are very carefully documented and well-structured to the extent that reuse and repurposing is facilitated. In particular, norms and standards of the research community for artifacts of this type are strictly adhered to.
- Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments
- They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
- argXtract: Deriving IoT Security Configurations via Automated Static Analysis of Stripped ARM Cortex-M Binaries
- LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems
- TEEKAP: Self-Expiring Data Capsule using Trusted Execution Environment
- FlexFilt: Towards Flexible Instruction Filtering for Security
- Rocky: Replicating Block Devices for Tamper and Failure Resistant Edge-based Virtualized Desktop Infrastructure
- Repack Me If You Can: An Anti-Repackaging Solution based on Android Virtualization
- MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks