Shiqing Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
22
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning. | Weipeng Jiang, Juan Zhai, Shiqing Ma, Ziyan Lei, Xiaofei Xie, Yige Wang, Chao Shen |
| 2026 | ACL | False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models. | Weipeng Jiang, Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Yang Liu |
| 2026 | ACL | Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets. | Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen |
| 2025 | ACL | Token-Budget-Aware LLM Reasoning. | Tingxu Han, Zhenting Wang, Chunrong Fang, Shiyu Zhao, Shiqing Ma, Zhenyu Chen |
| 2025 | ACL | The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Qian Wang, Chao Shen, Yang Liu |
| 2025 | CIKM | Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. | Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang |
| 2025 | CVPR | Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone. | Yuan Xiao, Yuchen Chen, Shiqing Ma, Chunrong Fang, Tongtong Bai, Mingzheng Gu, Yuxin Cheng, Yanwei Chen, Zhenyu Chen |
| 2025 | CVPR | MLLM-as-a-Judge for Image Safety without Human Labeling. | Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain |
| 2025 | CVPR | Invisible Backdoor Attack against Self-supervised Learning. | Hanrong Zhang, Zhenting Wang, Boheng Li, Fulin Lin, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma |
| 2025 | ICLR | STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu |
| 2025 | NAACL | An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer. | Weipeng Jiang, Zhenting Wang, Juan Zhai, Shiqing Ma, Zhengyu Zhao, Chao Shen |
| 2025 | NAACL | Data-centric NLP Backdoor Defense from the Lens of Memorization. | Zhenting Wang, Zhizhi Wang, Mingyu Jin, Mengnan Du, Juan Zhai, Shiqing Ma |
| 2025 | NDSS | Repurposing Neural Networks for Efficient Cryptographic Computation. | Xin Jin, Shiqing Ma, Zhiqiang Lin |
| 2025 | SP | BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target. | Guangyu Shen, Siyuan Cheng, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2024 | AAAI | Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. | 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 |
| 2024 | ACSAC | Exploring Inherent Backdoors in Deep Learning Models. | Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang |
| 2024 | ASPLOS | Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness. | Jinsong Mao, Hailun Ding, Juan Zhai, Shiqing Ma |
| 2024 | CVPR | Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. | Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang |
| 2024 | CVPR | Towards General Robustness Verification of MaxPool-Based Convolutional Neural Networks via Tightening Linear Approximation. | Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen |
| 2024 | ECCV | UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. | Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang |
| 2024 | ICLR | DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. | Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma |
| 2024 | ICML | How to Trace Latent Generative Model Generated Images without Artificial Watermark? | Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma |
| 2024 | ISSTA | Efficient DNN-Powered Software with Fair Sparse Models. | Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen |
| 2024 | NDSS | Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. | Rui Zhu, Di Tang, Siyuan Tang, Zihao Wang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang |
| 2024 | SP | OdScan: Backdoor Scanning for Object Detection Models. | Siyuan Cheng, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Zhuo Zhang, Shengwei An, Xiangzhe Xu, Yingqi Li, Shiqing Ma, Xiangyu Zhang |
| 2024 | SP | Distribution Preserving Backdoor Attack in Self-supervised Learning. | Guanhong Tao, Zhenting Wang, Shiwei Feng, Guangyu Shen, Shiqing Ma, Xiangyu Zhang |
| 2024 | SP | Exploring the Orthogonality and Linearity of Backdoor Attacks. | Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Shengwei An, Anuran Makur, Shiqing Ma, Xiangyu Zhang |
| 2023 | ACL | NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. | Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma |
| 2023 | CVPR | Detecting Backdoors in Pre-trained Encoders. | Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang |
| 2023 | DSN | Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Aerial Vehicles. | Aolin Ding, Matthew Chan, Amin Hass, Nils Ole Tippenhauer, Shiqing Ma, Saman A. Zonouz |
| 2023 | ICLR | FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. | Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang |
| 2023 | ICLR | UNICORN: A Unified Backdoor Trigger Inversion Framework. | Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma |
| 2023 | ISSTA | CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training Refinement. | Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Shiwei Wang |
| 2023 | NDSS | BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. | Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang |
| 2023 | SP | ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. | Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang |
| 2022 | CVPR | Complex Backdoor Detection by Symmetric Feature Differencing. | Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang |
| 2022 | CVPR | Better Trigger Inversion Optimization in Backdoor Scanning. | Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang |
| 2022 | CVPR | BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. | Zhenting Wang, Juan Zhai, Shiqing Ma |
| 2022 | ICML | Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense. | Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2022 | ICSE | Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. | Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang |
| 2022 | ICTAI | Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping. | Brian Zhang, Shiqing Ma |
| 2022 | SP | Piccolo: Exposing Complex Backdoors in NLP Transformer Models. | Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2021 | AAAI | Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. | Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang |
| 2021 | ACSAC | BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. | Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang |
| 2021 | ICML | Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. | Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang |
| 2021 | ICSE | AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen |
| 2021 | NDSS | ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation. | 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 |
| 2021 | SecureComm | SemFlow: Accurate Semantic Identification from Low-Level System Data. | Mohammad Kavousi, Runqing Yang, Shiqing Ma, Yan Chen |
| 2020 | ICSE | TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks. | Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang |
| 2020 | ICSE | CPC: automatically classifying and propagating natural language comments via program analysis. | Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang |
| 2020 | ISSTA | FineLock: automatically refactoring coarse-grained locks into fine-grained locks. | Yang Zhang, Shuai Shao, Juan Zhai, Shiqing Ma |
| 2020 | NDSS | UIScope: Accurate, Instrumentation-free, and Visible Attack Investigation for GUI Applications. | Runqing Yang, Shiqing Ma, Haitao Xu, Xiangyu Zhang, Yan Chen |
| 2019 | CCS | ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation. | Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang |
| 2019 | CGO | White-Box Program Tuning. | Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta |
| 2019 | ICSE | SLF: fuzzing without valid seed inputs. | Wei You, Xuwei Liu, Shiqing Ma, David Mitchel Perry, Xiangyu Zhang, Bin Liang |
| 2019 | NDSS | NIC: Detecting Adversarial Samples with Neural Network Invariant Checking. | Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang |
| 2019 | PLDI | Programming support for autonomizing software. | Wen-Chuan Lee, Peng Liu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang |
| 2019 | SP | ProFuzzer: On-the-fly Input Type Probing for Better Zero-Day Vulnerability Discovery. | Wei You, Xueqiang Wang, Shiqing Ma, Jianjun Huang, Xiangyu Zhang, XiaoFeng Wang, Bin Liang |
| 2018 | ACSAC | Lprov: Practical Library-aware Provenance Tracing. | Fei Wang, Yonghwi Kwon, Shiqing Ma, Xiangyu Zhang, Dongyan Xu |
| 2018 | ICSE | Debugging with intelligence via probabilistic inference. | Zhaogui Xu, Shiqing Ma, Xiangyu Zhang, Shuofei Zhu, Baowen Xu |
| 2018 | NDSS | MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation. | 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 |
| 2018 | NDSS | Trojaning Attack on Neural Networks. | Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, Xiangyu Zhang |
| 2018 | USENIX | Kernel-Supported Cost-Effective Audit Logging for Causality Tracking. | Shiqing Ma, Juan Zhai, Yonghwi Kwon, Kyu Hyung Lee, Xiangyu Zhang, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran, Dongyan Xu, Somesh Jha |
| 2017 | SecureComm | A Hypervisor Level Provenance System to Reconstruct Attack Story Caused by Kernel Malware. | Chonghua Wang, Shiqing Ma, Xiangyu Zhang, Junghwan Rhee, Xiaochun Yun, Zhiyu Hao |
| 2016 | ACSAC | HERCULE: attack story reconstruction via community discovery on correlated log graph. | Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu |
| 2016 | ICSE | Automatic model generation from documentation for Java API functions. | Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin |
| 2016 | NDSS | ProTracer: Towards Practical Provenance Tracing by Alternating Between Logging and Tainting. | Shiqing Ma, Xiangyu Zhang, Dongyan Xu |
| 2015 | ACSAC | Accurate, Low Cost and Instrumentation-Free Security Audit Logging for Windows. | Shiqing Ma, Kyu Hyung Lee, Chung Hwan Kim, Junghwan Rhee, Xiangyu Zhang, Dongyan Xu |
| 2013 | CLOUD | COLO: COarse-grained LOck-stepping virtual machines for non-stop service. | Yaozu Dong, Wei Ye, Yunhong Jiang, Ian Pratt, Shiqing Ma, Jian Li, Haibing Guan |