Sanghyun Hong

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 26

Top Topics

Security Analysis

Social Structure

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. ICLR (2021)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Handcrafted Backdoors in Deep Neural Networks. CoRR (2021)
Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. CoRR (2021)
Bum Jun Kwon, Sanghyun Hong, Yuseok Jeon, Doowon Kim
Certified Malware in South Korea: A Localized Study of Breaches of Trust in Code-Signing PKI Ecosystem. ICICS (1) (2021)
Sanghyun Hong, Jianbo Lu, Dimitar P. Filev
Driving Behavior Evaluation for Future Mobility: Application of Online Transition Probability Estimation. IEEE Trans. Intell. Transp. Syst. 22 (2) (2021)
Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. CoRR (2020)
Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping. CoRR (2020)
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
On the Effectiveness of Regularization Against Membership Inference Attacks. CoRR (2020)
Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
How to 0wn NAS in Your Spare Time. CoRR (2020)
Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras
How to 0wn the NAS in Your Spare Time. ICLR (2020)
Sanghyun Hong, Tae-Hoon Kim, Tudor Dumitras, Jonghyun Choi
Poster: On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset. CoRR (2019)
Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. USENIX Security Symposium (2019)
Sanghyun Hong, Jianbo Lu, Smruti R. Panigrahi, Jonathan Scott, Dimitar P. Filev
An Interacting Multiple-Model-Based Algorithm for Driver Behavior Characterization Using Handling Risk. IEEE Trans. Intell. Transp. Syst. 20 (12) (2019)
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. ICML (2019)
Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, Tudor Dumitras
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks. CoRR (2019)
Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon
On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS (2018)
Sanghyun Hong, Jianbo Lu, Dimitar P. Filev
Dynamic Diffusion Maps-based Path Planning for Real-time Collision Avoidance of Mobile Robots. Intelligent Vehicles Symposium (2018)
Sanghyun Hong, Abhinav Srivastava, William Shambrook, Tudor Dumitras
Go Serverless: Securing Cloud via Serverless Design Patterns. HotCloud (2018)
Sanghyun Hong, Alina Nicolae, Abhinav Srivastava, Tudor Dumitras
Peek-a-boo: Inferring program behaviors in a virtualized infrastructure without introspection. Comput. Secur. 79 (2018)
Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, Tudor Dumitras
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks. CoRR (2018)
Sanghyun Hong, Noseong Park, Tanmoy Chakraborty, Hyunjoong Kang, Soonhyun Kwon
PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding. BigData Congress (2018)
Justin Miller, Sanghyun Hong, Jianbo Lu
Self-Driving Mobile Robots Using Human-Robot Interactions. SMC (2018)
Sanghyun Hong, Jianbo Lu, Dimitar P. Filev
Transition probability estimation and its application in evaluation of automated driving. SMC (2017)
Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park
SENA: Preserving Social Structure for Network Embedding. HT (2017)
Rock Stevens, Octavian Suciu, Andrew Ruef, Sanghyun Hong, Michael W. Hicks, Tudor Dumitras
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning. CoRR (2017)
Sanghyun Hong, Jianbo Lu, Dimitar P. Filev
Driver behavior characterization using multiple dynamic models. SMC (2016)
Sanghyun Hong, J. Karl Hedrick
Roll prediction-based optimal control for safe path following. ACC (2015)
Sanghyun Hong, Chankyu Lee, Francesco Borrelli, J. Karl Hedrick
A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter. IEEE Trans. Intell. Transp. Syst. 16 (1) (2015)
Sanghyun Hong, Tory Smith, Francesco Borrelli, J. Karl Hedrick
Vehicle inertial parameter identification using Extended and unscented Kalman Filters. ITSC (2013)
Sanghyun Hong, J. Karl Hedrick
Tire-road friction coefficient estimation with vehicle steering. Intelligent Vehicles Symposium (2013)