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• Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
  2019 · 65 citations
• ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
  2021 · 46 citations
• Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
  2023 · 44 citations
• Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
  2020 · 26 citations
• Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
  2018 · 20 citations
• ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
  2018 · 13 citations
• CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
  2023 · 6 citations
• "what's In The Box?!": Deflecting Adversarial Attacks By Randomly Deploying Adversarially-disjoint Models
  2021 · 1 citations