Venue

- Any -AccessACMLACSACarXivAsiaCCSCCSEuroS&PICLRNeurIPSTMCVLSIWiSecCODASPYCRYPTONDSSPETSRAIDS&P (Oakland)USENIX SecurityVLDBWEISWPES

Keywords

- Any -Adversarial Machine LearningAndroidAnonymous CommunicationApplied CryptographyAutonomous VehiclesCloud SecurityData AugmentationData SynthesisDe-IdentificationDigital WatermarkingEMIEncrypted DatabasesGenerative ModelsHardware SecurityInference AttacksIntel SGXIntrusion DetectionLarge Language ModelsLiDARLocation PrivacyMembership PrivacyMemorizationNetwork-on-ChipPrivacy AuditingPrivacy PoliciesSearch SystemsSecure Multiparty ComputationSpeech RecognitionStalkerwareSurveillancewareCertificatesCryptographyData PrivacyDifferential PrivacyHTTPSMachine LearningMachine Learning + Security and PrivacyOblivious RAMPrivacySecuritySide-Channel ThreatsWeb Security

Type

- Any -ConferenceJournalWorkshopTechnical ReportPre-print

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2022

• Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems [PDF]
  In International Conference on Learning Representations (2022)
  Hadi Abdullah, Aditya Karlekar, Vincent Bindschaedler, Patrick Traynor

2021

• Beyond Lp Clipping: Equalization based Psychoacoustic Attacks against ASRs [PDF]
  In Asian Conference on Machine Learning (2021)
  Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia, Vincent Bindschaedler, Thomas Shrimpton, Patrick Traynor
• SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems [PDF]
  In IEEE Symposium on Security and Privacy (2021)
  Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

2020

• Towards Realistic Membership Inferences: The Case of Survey Data [PDF]
  In Annual Computer Security Applications Conference (2020)
  Luke A. Bauer, Vincent Bindschaedler
• A Pragmatic Approach to Membership Inferences on Machine Learning Models [PDF]
  In IEEE European Symposium on Security and Privacy (2020)
  Yunhui Long, Lei Wang, Diyue Bu, Vincent Bindschaedler, XiaoFeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen

2018

• NRF: A Naive Re-identification Framework [PDF]
  In Workshop on Privacy in the Electronic Society (2018)
  Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter
• The Tao of Inference in Privacy-Protected Databases [PDF]
  In Proceedings of the Very Large Data Bases Endowment (2018)
  Vincent Bindschaedler, Paul Grubbs, David Cash, Thomas Ristenpart , Vitaly Shmatikov
• Understanding Membership Inferences on Well-Generalized Learning Models [PDF]
  In arXiv preprint (2018)
  Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, XiaoFeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen
• Towards Measuring Membership Privacy [PDF]
  In arXiv preprint (2017)
  Yunhui Long, Vincent Bindschaedler, Carl A. Gunter

2017

• Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX [PDF]
  In ACM SIGSAC Conference on Computer and Communications Security (2017)
  Wenhao Wang, Guoxing Chen, Xiaorui Pan, Yinqian Zhang, XiaoFeng Wang, Vincent Bindschaedler, Haixu Tang, Carl A. Gunter

You can also browse my publications on:

• DBLP
• Google Scholar