deqangss

a joint Ph.D. student of NJUST and FIU

NJUSTNanjing

Pinned Repositories

adv-dnn-ens-malware
adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
Language:Python52 6 312
aics2019_challenge_adv_mal_defense
Codes for AICS'2019 challenge problem
Language:Python22 5 05
malware-uncertainty
deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
Language:Python13 2 25
pad4amd
adversarial malware detection via a principled way
Language:Python14 1 03

deqangss/adv-dnn-ens-malware
adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
Language:Python52 6 312
deqangss/aics2019_challenge_adv_mal_defense
Codes for AICS'2019 challenge problem
Language:Python22 5 05
deqangss/pad4amd
adversarial malware detection via a principled way
Language:Python14 1 03
deqangss/malware-uncertainty
deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
Language:Python13 2 25