All Stories

  1. Assessing and Improving Prompting Large Language Models for Software Vulnerability Analysis
  2. A First Look at Security and Privacy Risks in the RapidAPI Ecosystem
  3. End-Users Know Best: Identifying Undesired Behavior of Alexa Skills Through User Review Analysis
  4. Command Hijacking on Voice-Controlled IoT in Amazon Alexa Platform
  5. A Survey on Network Attack Surface Mapping
  6. FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments
  7. Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces
  8. PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing
  9. SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase
  10. COVID-19-related hateful memes had a bigger negative impact on people compared to hateful text
  11. Deep Learning-based Anomaly Detection in Cyber-physical Systems
  12. Towards Automated Content-based Photo Privacy Control in User-Centered Social Networks
  13. Exploitation Techniques for Data-oriented Attacks with Existing and Potential Defense Approaches
  14. Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
  15. Dangerous Skills Got Certified: Measuring the Trustworthiness of Skill Certification in Voice Personal Assistant Platforms
  16. AuthCTC: Defending Against Waveform Emulation Attack in Heterogeneous IoT Environments
  17. DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels
  18. Provably Secure Anonymous-yet-Accountable Crowdsensing with Scalable Sublinear Revocation
  19. Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths
  20. Visualizing Traffic Causality for Analyzing Network Anomalies
  21. Rapid Screening of Transformed Data Leaks with Efficient Algorithms and Parallel Computing
  22. Privacy-Preserving Scanning of Big Content for Sensitive Data Exposure with MapReduce