~/talks

Fan Zhang

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titleconferencedate
Agora: Trust Less and Open More in Verification for Confidential ComputingOOPSLA 20252025-10-16
Agora implements a prototype verification platform that pushes heavy static analysis and SMT solving out of the TCB, replacing them with a tiny in-enclave…
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Reality Check on Side-Channels: Lessons learnt from breaking AES on ARM Cortex-A72...19th USENIX WOOT Conference on Offensive Technologies (WOOT '25)2025-08-11
Evaluates EM side‑channel attacks on an ARM Cortex-A72 (Raspberry Pi 4B) using an EM probe + LCRO oscilloscope, TVLA/SNR for leakage checks, and CNN‑based deep…
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Zero Trust Cloud VPN Based on VPP and WireGuardOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
A Zero Trust Cloud VPN is built around VPP dataplane and WireGuard tunnels with a controller for service discovery and key distribution, SGX-based TEE for…
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IoT as a Platform: Scaling IoT Applications for the Enterprise Using Kubenernetes/OpenShiftOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
A containerized IoT PaaS built on Kubenernetes/OpenShift uses Kafka (Strimzi), Couchbase (with eventing) or Redis, Vue.js frontend, Golang services, Argo CD…
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CellSense: Human Mobility Recovery via Cellular Network Data EnhancementUbiComp 20212021-09-21
CellSense recovers missing observations from sparse cellular billing records by combining large-scale collective patterns (mobility graph, route pruning…
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Urban Map Inference by Pervasive Vehicular Sensing Systems with Complementary MobilityUbiComp 20212021-09-21
coMap infers road geometry and road class from four vehicle fleets (18,000 taxis, 10,000 private cars, 6,000 trucks, 14,000 buses) by weighting GPS points by…
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MIMU: Mobile WiFi Usage Inference by Mining Diverse User BehaviorsUbiComp 20212021-09-21
MIMU predicts per-device content demand on bus WiFi to cut carrier data costs by combining a deep learning user dimension model and device dimension model that…
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Liberating Off-Chain Data and Preserving User PrivacySmart Contract Summit #1 20212021-08-05
DECO is a privacy-preserving oracle layer that uses zero-knowledge proofs to prove facts like “bank balance > threshold” and to attest data came from an…
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Is your elephant a gazelle?FOSDEM 20212021-02-06
How to accelerate IPsec elephant flows Elephant flows appear irregularly, can consume almost half of the available bandwidth and are consequently associated…
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Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility ...UbiComp / ISWC 20202020-09-12
A system called Mohen links a city-scale stationary sensing network of highway toll stations to a small-scale mobile sensing GPS corpus to infer where people…
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RISC: Resource-Constrained Urban Sensing Task Scheduling Based on Commercial FleetsUbiComp / ISWC 20202020-09-12
RISC implements an MDP-based scheduling system that predicts vehicle locations, builds a vehicle–region graph, and casts each time slot as a set-cover…
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FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric ...UbiComp / ISWC 20202020-09-12
A deployed recommendation system called FairCharge assigns charging targets for fleets using real GPS and transaction streams from Shenzhen (≈16,400 taxis, 117…
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Effectively Extending Kubernetes ResourcesKubeCon + CloudNativeCon China 20182018-11-13
Kubebuilder claims to cut CRD and controller development from days of boilerplate to focused work by generating a runnable project with kubebuilder CLI and…
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Kubebuilder: SDK for Extending KubernetesKubeCon + CloudNativeCon China 20182018-11-13
Kubebuilder scaffolds a full operator project (APIs, controllers, webhooks, Makefile, Dockerfile) and uses controller-runtime libraries and code generators to…
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REM: Resource-Efficient Mining for Blockchains26th USENIX Security Symposium (USENIX Security '17)2017-08-16
REM replaces wasted PoW hashing with Proof-of-Useful-Work inside Intel SGX enclaves, counting CPU instructions as metered work and using hierarchical…
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Stealing Machine Learning Models via Prediction APIsUSENIX Security '162016-08-10
Demonstrates concrete model extraction that recovers logistic regressions, neural nets and decision trees with near-perfect fidelity (often >=99.9% agreement)…
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