154 citations · 947 across the 39 of their papers we have counts for
3 papers · 1 filter
Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy +1
Motivated by high-stakes decision-making domains like personalized medicine where user information is inherently sensitive, we design privacy preserving exploration policies for ep…
Privacy Amplification via Random Check-Ins
Borja Balle, Peter Kairouz, H. Brendan McMahan +2
Differentially Private Stochastic Gradient Descent (DP-SGD) forms a fundamental building block in many applications for learning over sensitive data. Two standard approaches, priva…
Private Summation in the Multi-Message Shuffle Model
Borja Balle, James Bell, Adria Gascon +1
The shuffle model of differential privacy (Erlingsson et al. SODA 2019; Cheu et al. EUROCRYPT 2019) and its close relative encode-shuffle-analyze (Bittau et al. SOSP 2017) provide…