Andrea Continella
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
Whom Andrea Continella trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lok K. Yan
- Vaibhav Rastogi
- Jaeyeon Jung
- Fengguo Wei
- Kimberly Tam
- Nolen Scaife
- William Enck
- Heng Yin
- Wes McKinney
Papers from Andrea Continella's perspective
Ordered by how strongly the researchers Andrea Continella trusts endorse each paper. Same corpus, a different order for every researcher.
- TaintDroid (USENIX Symposium on Operating Systems Design and Implementation)
- AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale (Trust and Trustworthy Computing)
- FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- AppsPlayground: automatic security analysis of smartphone applications (Conference on Data and Application Security and Privacy)
- DroidScope: Seamlessly Reconstructing the OS and Dalvik Semantic Views for Dynamic Android Malware Analysis (USENIX Security Symposium)
- Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps (Conference on Computer and Communications Security)
- These aren't the droids you're looking for: retrofitting android to protect data from imperious applications (Conference on Computer and Communications Security)
- Execute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications (Network and Distributed System Security Symposium)
- IccTA: Detecting Inter-Component Privacy Leaks in Android Apps (2015 IEEE/ACM 37th IEEE International Conference on Software Engineering)
- Privacy oracle: a system for finding application leaks with black box differential testing
Their papers
- Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis (2017) — 135 citations
- FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic (2020) — 367 citations
- ShieldFS: a self-healing, ransomware-aware filesystem (2016) — 318 citations