1 citations · 1 across the 5 of their papers we have counts for
5 papers
Synthesizing Probabilistic Saturating Counters with Differentially Private Formal Guarantees
Zhiming Chi, Lutan Zhao, Depeng Liu +8
Branch predictors improve instruction-level parallelism in modern processors and are commonly modeled using saturating counters. However, classical saturating counters are determin…
PAC Approximation and DIRECT Optimization for Parametric Markov Models
Zhiming Chi, Ying Liu, Andrea Turrini +2
In this paper, we consider the parameter synthesis and optimization problem for parametric Markov decision processes (pMDPs), the extension of classical MDPs where exact probabilit…
Resource-Constrained Robotic Planning in the face of Mixed Uncertainty
Yihao Yin, Pian Yu, Andrea Turrini +3
Robots operate under significant uncertainty, from quantifiable noise to unquantifiable unknowns, and must account for strict operational constraints, such as limited resources. In…
Patch Synthesis for Property Repair of Deep Neural Networks
Zhiming Chi, Jianan Ma, Pengfei Yang +4
Deep neural networks (DNNs) are prone to various dependability issues, such as adversarial attacks, which hinder their adoption in safety-critical domains. Recently, NN repair tech…
Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks
Pengfei Yang, Zhiming Chi, Zongxin Liu +4
Constraint solving is an elementary way for verification of deep neural networks (DNN). In the domain of AI safety, a DNN might be modified in its structure and parameters for its…