Venue

- Any -AccessACMLACSACarXivCCSEuroS&PICLRTMCVLSIWiSecCODASPYCRYPTONDSSPETSRAIDS&P (Oakland)USENIX SecurityVLDBWEISWPES

Keywords

- Any -Adversarial Machine LearningAndroidApplied CryptographyAutonomous VehiclesCloud SecurityData SynthesisDe-IdentificationDigital WatermarkingEMIEncrypted DatabasesGenerative ModelsHardware SecurityInference AttacksIntel SGXIntrusion DetectionLiDARLocation PrivacyMembership PrivacyNetwork-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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2023

• EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting using Electromagnetic Interference [PDF (External Link)]
  In ACM Conference on Security and Privacy in Wireless and Mobile Networks (2023)
  Sri Hrushikesh Varma Bhupathiraju, Jennifer Sheldon, Luke A. Bauer, Vincent Bindschaedler, Takeshi Sugawara, Sara Rampazzi

2022

• Enhanced Membership Inference Attacks against Machine Learning Models [PDF]
  In ACM SIGSAC Conference on Computer and Communications Security (2022)
  Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri
• PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies [PDF (External Link)]
  In IEEE Access (2022)
  Muhammad Sajidur Rahman, Pirouz Naghavi, Blas Kojusner, Sadia Afroz, Byron Williams, Sara Rampazzi, Vincent Bindschaedler
• Digital Watermarking for Detecting Malicious Intellectual Property Cores in NoC Architectures [PDF (External Link)]
  In IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2022)
  Subodha Charles, Vincent Bindschaedler, Prabhat Mishra
• Analyzing the Monetization Ecosystem of Stalkerware [PDF]
  In Privacy Enhancing Technologies Symposium (2022)
  Cassidy Gibson, Vanessa Frost, Katie Platt, Washington Garcia, Luis Vargas, Sara Rampazzi, Vincent Bindschaedler, Patrick Traynor, Kevin Butler
• Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds [PDF]
  In Privacy Enhancing Technologies Symposium (2022)
  Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West
• 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

You can also browse my publications on:

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