Shiqing Ma

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 105

Top Venues

CoRR

NDSS

ICSE

USENIX Security Symposium

Publications

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Shiwei Wang, Chao Shen
CITADEL: Context Similarity Based Deep Learning Framework Bug Finding. CoRR (2024)
Hyejun Jeong, Shiqing Ma, Amir Houmansadr
SoK: Challenges and Opportunities in Federated Unlearning. CoRR (2024)
Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CoRR (2024)
Sajjad Amini, Mohammadreza Teymoorianfard, Shiqing Ma, Amir Houmansadr
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification. CoRR (2024)
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR (2024)
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. AAAI (2024)
Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen
DREAM: Debugging and Repairing AutoML Pipelines. CoRR (2024)
Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. CoRR (2024)
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR (2024)
Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen
Efficient DNN-Powered Software with Fair Sparse Models. CoRR (2024)
Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen
COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR (2024)
Guangyu Shen, Siyuan Cheng, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Lu Yan, Zhuo Zhang, Shiqing Ma, Xiangyu Zhang
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia. CoRR (2024)
Jinsong Mao, Hailun Ding, Juan Zhai, Shiqing Ma
Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness. ASPLOS (3) (2024)
Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma
Towards Imperceptible Backdoor Attack in Self-supervised Learning. CoRR (2024)
Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions. CoRR (2024)
Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. CoRR (2024)
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR (2023)
Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. NDSS (2023)
Aolin Ding, Matthew Chan, Amin Hass, Nils Ole Tippenhauer, Shiqing Ma, Saman A. Zonouz
Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Aerial Vehicles. DSN (2023)
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR (2023)
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Alteration-free and Model-agnostic Origin Attribution of Generated Images. CoRR (2023)
Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
Detecting Backdoors in Pre-trained Encoders. CVPR (2023)
Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. CoRR (2023)
Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. ACL (1) (2023)
Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. CoRR (2023)
Mohannad Alhanahnah, Shiqing Ma, Ashish Gehani, Gabriela F. Ciocarlie, Vinod Yegneswaran, Somesh Jha, Xiangyu Zhang
autoMPI: Automated Multiple Perspective Attack Investigation With Semantics Aware Execution Partitioning. IEEE Trans. Software Eng. 49 (4) (2023)
Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
Detecting Backdoors in Pre-trained Encoders. CoRR (2023)
Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma
UNICORN: A Unified Backdoor Trigger Inversion Framework. ICLR (2023)
Xinghui Wu, Shiqing Ma, Chao Shen, Chenhao Lin, Qian Wang, Qi Li, Yuan Rao
KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems. USENIX Security Symposium (2023)
Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma
UNICORN: A Unified Backdoor Trigger Inversion Framework. CoRR (2023)
Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. CoRR (2023)
Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration. NeurIPS (2023)
Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Shiwei Wang
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement. CoRR (2023)
Hailun Ding, Juan Zhai, Dong Deng, Shiqing Ma
The Case for Learned Provenance Graph Storage Systems. USENIX Security Symposium (2023)
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR (2023)
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Where Did I Come From? Origin Attribution of AI-Generated Images. NeurIPS (2023)
Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Shiwei Wang
CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training Refinement. ISSTA (2023)
Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang
ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. SP (2023)
Hailun Ding, Juan Zhai, Yuhong Nan, Shiqing Ma
AIRTAG: Towards Automated Attack Investigation by Unsupervised Learning with Log Texts. USENIX Security Symposium (2023)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P (2022)
Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training. NeurIPS (2022)
Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma
Rethinking the Reverse-engineering of Trojan Triggers. CoRR (2022)
Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. CoRR (2022)
Xiaoyi Chen, Baisong Xin, Shengfang Zhai, Shiqing Ma, Qingni Shen, Zhonghai Wu
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning. CoRR (2022)
Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang
Piccolo: Exposing Complex Backdoors in NLP Transformer Models. IEEE Symposium on Security and Privacy (2022)
Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense. CoRR (2022)
Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma
Rethinking the Reverse-engineering of Trojan Triggers. NeurIPS (2022)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma
Neural Network Trojans Analysis and Mitigation from the Input Domain. CoRR (2022)
Zhenting Wang, Juan Zhai, Shiqing Ma
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. CVPR (2022)
Brian Zhang, Shiqing Ma
Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping. ICTAI (2022)
Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang
Better Trigger Inversion Optimization in Backdoor Scanning. CVPR (2022)
Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense. ICML (2022)
Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
Complex Backdoor Detection by Symmetric Feature Differencing. CVPR (2022)
Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
Backdoor Vulnerabilities in Normally Trained Deep Learning Models. CoRR (2022)
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR (2022)
Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang
Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. ICSE (2022)
Zhenting Wang, Juan Zhai, Shiqing Ma
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. CoRR (2022)
Le Yu, Shiqing Ma, Zhuo Zhang, Guanhong Tao, Xiangyu Zhang, Dongyan Xu, Vincent E. Urias, Han Wei Lin, Gabriela F. Ciocarlie, Vinod Yegneswaran, Ashish Gehani
ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation. NDSS (2021)
Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen
AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System. ICSE (2021)
Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. CoRR (2021)
Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. ICML (2021)
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network. CoRR (2021)
Hailun Ding, Shenao Yan, Juan Zhai, Shiqing Ma
ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning. USENIX Security Symposium (2021)
Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry. CoRR (2021)
Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. AAAI (2021)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR (2021)
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC (2021)
Abdulellah Alsaheel, Yuhong Nan, Shiqing Ma, Le Yu, Gregory Walkup, Z. Berkay Celik, Xiangyu Zhang, Dongyan Xu
ATLAS: A Sequence-based Learning Approach for Attack Investigation. USENIX Security Symposium (2021)
Mohammad Kavousi, Runqing Yang, Shiqing Ma, Yan Chen
SemFlow: Accurate Semantic Identification from Low-Level System Data. SecureComm (1) (2021)
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
To what extent do DNN-based image classification models make unreliable inferences? Empir. Softw. Eng. 26 (4) (2021)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. CoRR (2020)
Yang Zhang, Shuai Shao, Juan Zhai, Shiqing Ma
FineLock: automatically refactoring coarse-grained locks into fine-grained locks. ISSTA (2020)
Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan, Xiangyu Zhang
C2S: translating natural language comments to formal program specifications. ESEC/SIGSOFT FSE (2020)
Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang
CPC: automatically classifying and propagating natural language comments via program analysis. ICSE (2020)
Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao
Deep Learning Backdoors. CoRR (2020)
Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. CoRR (2020)
Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang
TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks. ICSE (2020)
Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang
BadNL: Backdoor Attacks Against NLP Models. CoRR (2020)
Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, Xiangyu Zhang
Correlations between deep neural network model coverage criteria and model quality. ESEC/SIGSOFT FSE (2020)
Runqing Yang, Shiqing Ma, Haitao Xu, Xiangyu Zhang, Yan Chen
UIScope: Accurate, Instrumentation-free, and Visible Attack Investigation for GUI Applications. NDSS (2020)
Wei You, Xueqiang Wang, Shiqing Ma, Jianjun Huang, Xiangyu Zhang, XiaoFeng Wang, Bin Liang
ProFuzzer: On-the-fly Input Type Probing for Better Zero-Day Vulnerability Discovery. IEEE Symposium on Security and Privacy (2019)
Wen-Chuan Lee, Peng Liu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
Programming support for autonomizing software. PLDI (2019)
Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang
NIC: Detecting Adversarial Samples with Neural Network Invariant Checking. NDSS (2019)
Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta
White-Box Program Tuning. CGO (2019)
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations. CoRR (2019)
Wei You, Xuwei Liu, Shiqing Ma, David Mitchel Perry, Xiangyu Zhang, Bin Liang
SLF: fuzzing without valid seed inputs. ICSE (2019)
Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang
ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation. CCS (2019)
Zhenhao Tang, Juan Zhai, Minxue Pan, Yousra Aafer, Shiqing Ma, Xiangyu Zhang, Jianhua Zhao
Dual-force: understanding WebView malware via cross-language forced execution. ASE (2018)
Shiqing Ma, Juan Zhai, Yonghwi Kwon, Kyu Hyung Lee, Xiangyu Zhang, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran, Dongyan Xu, Somesh Jha
Kernel-Supported Cost-Effective Audit Logging for Causality Tracking. USENIX Annual Technical Conference (2018)
Fei Wang, Yonghwi Kwon, Shiqing Ma, Xiangyu Zhang, Dongyan Xu
Lprov: Practical Library-aware Provenance Tracing. ACSAC (2018)
Shiqing Ma, Yingqi Liu, Wen-Chuan Lee, Xiangyu Zhang, Ananth Grama
MODE: automated neural network model debugging via state differential analysis and input selection. ESEC/SIGSOFT FSE (2018)
Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. NeurIPS (2018)
Zhaogui Xu, Shiqing Ma, Xiangyu Zhang, Shuofei Zhu, Baowen Xu
Debugging with intelligence via probabilistic inference. ICSE (2018)
Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. CoRR (2018)
Yonghwi Kwon, Fei Wang, Weihang Wang, Kyu Hyung Lee, Wen-Chuan Lee, Shiqing Ma, Xiangyu Zhang, Dongyan Xu, Somesh Jha, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran
MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation. NDSS (2018)
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, Xiangyu Zhang
Trojaning Attack on Neural Networks. NDSS (2018)
Shiqing Ma, Juan Zhai, Fei Wang, Kyu Hyung Lee, Xiangyu Zhang, Dongyan Xu
MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning. USENIX Security Symposium (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shiqing Ma