some papers about GAN and AEs in model security


mainly collected from security conferences and journals,aiming at machine learning model security

year conf/jour zone title topic
2017 ESORICS CCF-B Adversarial examples for malware detection AE
2017 Evading machine learning malware detection
2017 Generating adversarial malware examples for black-box attacks based on GAN GAN
2017 KDD CCF-A Adversary resistant deep neural networks with an application to malware detection AE
2018 Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
2018 CoRR Deceiving end-to-end deep learning malware detectors using adversarial examples AE
2017 RAID CCF-B Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
2018 CCF-B Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders
2019 USENIX Securit CCF-A CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning GAN
2019 USENIX Securit CCF-A Misleading Authorship Attribution of Source Code using Adversarial Learning AE
2019 USENIX Securit CCF-A Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks
2018 USENIX Securit CCF-A AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
2018 USENIX Securit CCF-A A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
2018 USENIX Securit CCF-A Formal Security Analysis of Neural Networks using Symbolic Intervals AE
2016 USENIX Securit CCF-A Stealing Machine Learning Models via Prediction APIs
2019 USENIX Securit CCF-A Seeing is Not Believing: Camouflage Attacks on Image Scaling Algorithms AE,IMAGE
2019 TIFS CCF-A GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy. GAN,PI
2019 TIFS CCF-A FV-GAN: Finger Vein Representation Using Generative Adversarial Networks GAN,IMAGE
2018 TIFS CCF-A CNN-Based Adversarial Embedding for Image Steganography AE,IMAGE
2017 TIFS CCF-A No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation
2017 TIFS CCF-A A Game-Theoretic Analysis of Adversarial Classification AE
2018 CCS CCF-A Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach
2018 CCS CCF-A Machine Learning with Membership Privacy using Adversarial Regularization AE,PI
2018 CCS CCF-A Tutorials:Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning AE
2018 CCS CCF-A Towards Understanding the Dynamics of Adversarial Attacks AE
2018 CCS CCF-A Adversarial Product Review Generation with Word Replacements AE,NLP
2018 CCS CCF-A Spartan Networks: Self-Feature-Squeezing Networks for Increased Robustness in Adversarial Settings
2017 CCS CCF-A DolphinAttack: Inaudible Voice Commands AE
2017 CCS CCF-A Evading Classifiers by Morphing in the Dark AE
2017 CCS CCF-A MagNet: A Two-Pronged Defense against Adversarial Examples AE
2017 CCS CCF-A Practical Attacks Against Graph-based Clustering AE,IMAGE
2017 CCS CCF-A Automated Crowdturfing Attacks and Defenses in Online Review Systems AE,NLP
2017 CCS CCF-A POISED: Spotting Twitter Spam Off the Beaten Paths AE,NLP
2017 CCS CCF-A Poster: Adversarial Examples for Classifiers in High-Dimensional Network Data. AE
2017 CCS CCF-A Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
2016 CCS CCF-A Tutorials:Adversarial Data Mining: Big Data Meets Cyber Security. AE
2016 S&P CCF-A Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks AE
2019 AAAI CCF-A MIGAN: Malware Image Synthesis Using GANs. GAN