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• A Unified Approach To Routing And Cascading For Llms
  2024 · 38 citations
• Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
  2020 · 28 citations
• LAMP: Extracting Text from Gradients with Language Model Priors
  2022 · 21 citations
• Data Leakage in Federated Averaging
  2022 · 15 citations
• Online Robustness Training for Deep Reinforcement Learning
  2019 · 12 citations
• Bayesian Framework for Gradient Leakage
  2021 · 10 citations
• Abstraqt: Analysis of Quantum Circuits via Abstract Stabilizer Simulation
  2023 · 8 citations
• Scalable Certified Segmentation via Randomized Smoothing
  2021 · 4 citations
• DAGER: Exact Gradient Inversion for Large Language Models
  2024 · 4 citations
• Instruction Tuning for Secure Code Generation
  2024 · 3 citations
• TabLeak: Tabular Data Leakage in Federated Learning
  2022 · 2 citations
• Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
  2023 · 1 citations
• SPEAR:Exact Gradient Inversion of Batches in Federated Learning
  2024 · 1 citations
• Black-Box Adversarial Attacks on LLM-Based Code Completion
  2024 · 1 citations
• Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR
  2026