Collaborated with:H.Wang Y.G.0001 T.Liu G.Xu J.Klein G.Bai F.Dong T.F.Bissyandé D.Octeau S.Jha M.Dering P.D.McDaniel A.Bartel Y.L.Traon L.M.0003 F.Juefei-Xu F.Zhang J.Sun M.Xue B.L.0026 C.Chen T.Su Y.L.0003 J.Zhao Y.Wang
Talks about:android (3) analysi (2) detect (2) fraud (2) deep (2) app (2) probabilist (1) granular (1) criteria (1) aggress (1)
Person: Li Li 0029
DBLP: 0029:Li_Li
Contributed to:
2018
20182019
2016Wrote 4 papers:
- ASE-2018-MaJZSXLCSLLZW #learning #multi #named #testing
- DeepGauge: multi-granularity testing criteria for deep learning systems (LM0, FJX, FZ, JS, MX, BL0, CC, TS, LL0, YL0, JZ, YW), pp. 120–131.
- ESEC-FSE-2018-DongWLGBLXK #android #automation #detection #named
- FraudDroid: automated ad fraud detection for Android apps (FD, HW, LL0, YG0, TFB, TL, GX, JK), pp. 257–268.
- ASE-2019-LiuW0B0X #android #detection #named
- DaPanda: Detecting Aggressive Push Notifications in Android Apps (TL, HW, LL0, GB, YG0, GX), pp. 66–78.
- POPL-2016-OcteauJDMB0KT #android #component #modelling #probability #static analysis
- Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis (DO, SJ, MD, PDM, AB, LL0, JK, YLT), pp. 469–484.