Hackers demanded $1 million from Ferrari for not leaking customers personal information Geographic Spines in the 2020 Census Disclosure Avoidance System. (arXiv:2203.16654v2 [cs.CR] UPDATED)
The 2020 Census Disclosure Avoidance System (DAS) is a formally private mechanism that first adds independent noise to cross tabulations...
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. (arXiv:2106.05087v5 [cs.LG] UPDATED)
Evaluating the worst-case performance of a reinforcement learning (RL) agent under the strongest/optimal adversarial perturbations on state observations (within some...
Geographic Spines in the 2020 Census Disclosure Avoidance System. (arXiv:2203.16654v2 [cs.CR] UPDATED)
The 2020 Census Disclosure Avoidance System (DAS) is a formally private mechanism that first adds independent noise to cross tabulations...
Geographic Spines in the 2020 Census Disclosure Avoidance System. (arXiv:2203.16654v2 [cs.CR] UPDATED)
The 2020 Census Disclosure Avoidance System (DAS) is a formally private mechanism that first adds independent noise to cross tabulations...
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. (arXiv:2205.08532v4 [cs.DS] UPDATED)
We prove new lower bounds for statistical estimation tasks under the constraint of $(varepsilon, delta)$-differential privacy. First, we provide tight...
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. (arXiv:2205.08532v4 [cs.DS] UPDATED)
We prove new lower bounds for statistical estimation tasks under the constraint of $(varepsilon, delta)$-differential privacy. First, we provide tight...
Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack. (arXiv:2303.10555v1 [cs.CR])
LiDAR (Light Detection And Ranging) is an indispensable sensor for precise long- and wide-range 3D sensing, which directly benefited the...
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma. (arXiv:2205.08532v4 [cs.DS] UPDATED)
We prove new lower bounds for statistical estimation tasks under the constraint of $(varepsilon, delta)$-differential privacy. First, we provide tight...
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. (arXiv:2205.11765v2 [cs.LG] UPDATED)
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed protocols improve...
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. (arXiv:2205.11765v2 [cs.LG] UPDATED)
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed protocols improve...