Ningfei

15 posts

Ningfei

Ningfei

@ningfei_wang

Katılım Mart 2020
50 Takip Edilen26 Takipçiler
Takami Sato
Takami Sato@tkm2261·
エンジニアがいないので東京オフィスは何か華やかやな
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Junze Liu
Junze Liu@junze_liu·
3rd time in New Orleans. Now I can comfortably discuss the best restaurants with Uber drivers. #NeurIPS #NeurIPS2023
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New Orleans, LA 🇺🇸 English
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Ningfei
Ningfei@ningfei_wang·
We release the source code of MSF-ADV, a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) perception. github.com/ASGuard-UCI/MS…
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Ningfei
Ningfei@ningfei_wang·
Do you know if Multi-Sensor Fusion (MSF) can improve the security autonomous vehicle? Welcome to our talk at IEEE S&P @IEEESSP at 10:45 am (PDT) and I will present the security of MSF-based perception. Welcome to our poster section at 3:00 pm (PDT). Site: bit.ly/3bRi2QJ
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Alfred Chen
Alfred Chen@qialfredchen·
My student Ningfei will present our new work on security of multi-sensor fusion perception for self-driving cars at IEEE S&P @IEEESSP today! We found road objects can be maliciously shaped to evade *both* camera & LiDAR DNN detection in self-driving! Site: bit.ly/3bRi2QJ
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USENIX-VehicleSec2026
USENIX-VehicleSec2026@vehiclesec_conf·
AutoSec'21 tentative program is out! Will have a record number of *17 papers* and *10 demos* on the latest advances in security/privacy of in-vehicle network, auto-driving, V2X, drone, EV, OTA update, etc. Join us on Feb 25! Program link: ndss-symposium.org/ndss-program/a… @NDSSSymposium
USENIX-VehicleSec2026 tweet media
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USENIX-VehicleSec2026
USENIX-VehicleSec2026@vehiclesec_conf·
Received a record number of *36* submissions this year! Seems that automotive & autonomous vehicle security are becoming really hot. Now the review process begins...
USENIX-VehicleSec2026 tweet media
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USENIX-VehicleSec2026
USENIX-VehicleSec2026@vehiclesec_conf·
Happy to announce that @BaiduXlab will sponsor the AutoDriving Security Award at AutoSec'21! Baidu is ranked as top 4 leading autonomous driving developers (w/ Waymo, Ford, & Cruise) by Navigant Research. Please consider submitting your best work by *Jan 4* to win the award!
USENIX-VehicleSec2026@vehiclesec_conf

Paper due in *3 weeks* (Jan 4)! Besides 6-pg reg papers, 4-pg WIP papers are great for initial ideas to solicit feedback from top-tier security community at @NDSSSymposium ; 1-pg demos are great for published work to gain more publicity. Also lots of awards for your awesome work!

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USENIX-VehicleSec2026
USENIX-VehicleSec2026@vehiclesec_conf·
Official CFP for AutoSec'21 is out on @NDSSSymposium website: ndss-symposium.org/ndss2021/cfp-a…. Paper due: *Jan 4, 2021* (Regular: 6 pages, Short: 4 pages, Demo: 1 page). Accepted papers/demos will be considered for Best Paper/Demo Award, and a special AutoDriving Security Award!
USENIX-VehicleSec2026 tweet media
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Alfred Chen
Alfred Chen@qialfredchen·
Next year's AutoSec #autosec21 will be hosted with NDSS'21 @NDSSSymposium! Thrilled to keep building research community on security/privacy of emerging technology on cars, drones, and their autonomy & networking. Researchers on these topics, save the date for your awesome work!
USENIX-VehicleSec2026@vehiclesec_conf

Thrilled to announce that the 3rd AutoSec Workshop #autosec21 will be co-located with NDSS'21 @NDSSSymposium on Feb 21, 2021! Paper due is *Jan 4, 2021 AOE*, all research on security/privacy of cars, drones, buses, trucks, airplanes, and their autonomy & networking are welcomed!

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Alfred Chen
Alfred Chen@qialfredchen·
Thrilled to help organize the next SafeThings in 2021! Absolutely a great venue for your brand new IoT/CPS security ideas! Save the date! #safethings21 #SP21 @IEEESSP
SafeThings2021@SafeThings2021

The 5th SafeThings Workshop #SafeThings21 will be once again co-located with IEEE S&P @IEEESSP ! Excited to continue our mission in developing a community that systematically secures emerging IoT/CPS systems. Paper ddl will be *1/25/2021* -- save the date! Details will come soon.

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UCIbrenICS
UCIbrenICS@UCIbrenICS·
Computer Science Professor Qi Alfred Chen and his research team presented a first-of-its-kind study revealing a “take-over vulnerability” in self-driving car systems that could result in serious accidents. Learn more at bit.ly/3aJKRNv
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