Faculty

Institution

Unit

Venue

Bo Li

Associate Professor

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Bo Li is currently serving as a Siebel School Of Computing And Data Science Associate Professor at Uiuc.

Honors

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Experiences

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Education

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Bo Li

UIUC

Associate Professor

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computer science data science machine learning adversarial machine learning deep learning machine learning research neural network (machine learning) computer security artificial intelligence computational intelligence data security attack model information security computer vision deep neural networks data privacy image representation ai safety convolutional neural networks machine vision machine learning models generative adversarial networks robustness (computer science) robot learning natural language processing computational statistics certified robustness computer engineering information forensics communication security generative ai generative models language natural language generation multimedia information processing trustworthy ai object detection backdoor attacks deep learning systems software analysis autonomous robots supervised learning deep reinforcement learning evasion technique machine translation mathematical optimization fuzzing synthetic image generation threat detection federated learning large language models privacy protection differential privacy graph analysis anomaly detection adversarial examples deep neural network robustness certification feature learning mutation-based testing trustworthy computing graph neural networks combinatorial testing workflow sequential decision making llm fine-tuning targeted attack language generation deep learning models data poisoning attack secret revealer generative model-inversion attack attack strategies model manipulation attack robust mntd pipeline adversarial objects baidu apollo game theory information theory

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Boosting Adversarial Transferability With Spatial Adversarial Alignment. arXiv (Cornell University) (2025)

Chen, ZhaoyuGuo, HaijingJiang, KaixunFu, JiyuanZhou, XinyuYang, DingkangTang, HaoLi, BoZhang, Wenqiang

deep learningcomputer scienceadversarial transferabilitydomain adaptationhigh transferabilitymachine learningdata augmentationdata scienceadversarial machine learningcomputer visionlimited transferabilitymachine learning researchneural network (machine learning)image representation

Semantically Adversarial Scene Generation With Explicit Knowledge Guidance. IEEE Transactions on Intelligent Transportation Systems (2025)

Wenhao DingHaohong LinBo LiDing Zhao

generative systemsdeep learningcomputer sciencecomputational intelligenceexplicit knowledge guidancesynthetic image generationsemantic evaluationmachine learningexplicit knowledgedata sciencegenerative modelsknowledge representation and reasoningartificial intelligenceautomated reasoningtree structurerobot learninggenerative aiimage representation

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Zhangheng LiTianlong ChenLinyi LiBo LiZhangyang Wang

computer sciencemodel selectioncertified robustnessmachine learningtransfer learningverification processdata sciencefew-shot learningmachine learning researchsparse transfer learningimage representation

Air-Bench 2024: A Safety Benchmark Based on Risk Categories From Regulations and Policies. (2024)

Yi ZengYu Yang YangAndy ZhouJeffrey Ziwei TanYuheng TuYifan MaiKevin KlymanMinzhou PanRuoxi JiaDawn SongPercy LiangBo Li

language modelsrisk managementsafety sciencedata scienceai safetyregulationsafety legislationregulatory safety sciencesafetyair-bench 2024risk categoriespolicy modelingpublic policysafety policysafety benchmark

Distributed and Parallel Blockchain: Towards a Multi-Chain System With Enhanced Security. IEEE Transactions on Dependable and Secure Computing (2024)

Weikang LiuBin CaoMugen PengBo Li

information securityblockchain securityblockchain scalabilityblockchain consensus protocolblockchainparallel blockchaincomputer securitydistributed systemsblockchain protocolsmulti-chain systemcryptographyenhanced security

Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults. Software Testing Verification and Reliability (2024)

Ayoosh BansalHunmin KimSimon YuBo LiNaira HovakimyanMarco CaccamoLui Sha

autonomous navigationdeep learningcomputer scienceobject detectionautonomous drivingautonomous robotsperception simplexobstacle detectionmachine learningsystem safetysystems engineeringselfdriving carmachine visionintelligent vehiclesartificial intelligenceconvolutional neural networksneural network (machine learning)

Re-Thinking Data Availability Attacks Against Deep Neural Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Bin FangBo LiShuang WuShouhong DingRan YiLizhuang Ma

deep learningcomputer sciencedata securitycomputer securitydata scienceadversarial machine learningneural computationneural network (machine learning)attack model

Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics. Technometrics (2024)

Lei JinBo Li

statistical inferencestatisticsstatistical methodologymultidimensional analysistime seriestemporal pattern recognitionscalable methodsdata sciencestatistical modelsapplied mathematicsmultiple time seriesnonlinear time seriesapplied statisticscomputational statistics

Shake to Leak: Fine-Tuning Diffusion Models Can Amplify the Generative Privacy Risk. (2024)

Zhangheng LiJunyuan HongBo LiZhangyang Wang

deep learningcomputer scienceinformation securitydata securitydata privacymachine learningcomputer securitycommunication securitydata scienceadversarial machine learningprivacy leakageprivacy protectiondiffusion modelsprivacy riskdifferential privacymachine learning researchtraining images

SOK: Privacy-Preserving Data Synthesis. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yuzheng HuFan WuQinbin LiYunhui LongGonzalo Munilla GarridoChang GeBolin DingDavid ForsythBo LiDawn Song

information securitycomputer scienceprivacy-preserving communicationdata securitydata privacydata scienceprivacy-preserving data synthesisdata management

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Bo Li

Associate Professor

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Bo Li is currently serving as a Siebel School Of Computing And Data Science Associate Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bo Li

UIUC

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Boosting Adversarial Transferability With Spatial Adversarial Alignment. arXiv (Cornell University) (2025)

Chen, ZhaoyuGuo, HaijingJiang, KaixunFu, JiyuanZhou, XinyuYang, DingkangTang, HaoLi, BoZhang, Wenqiang

Semantically Adversarial Scene Generation With Explicit Knowledge Guidance. IEEE Transactions on Intelligent Transportation Systems (2025)

Wenhao DingHaohong LinBo LiDing Zhao

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Zhangheng LiTianlong ChenLinyi LiBo LiZhangyang Wang

Air-Bench 2024: A Safety Benchmark Based on Risk Categories From Regulations and Policies. (2024)

Yi ZengYu Yang YangAndy ZhouJeffrey Ziwei TanYuheng TuYifan MaiKevin KlymanMinzhou PanRuoxi JiaDawn SongPercy LiangBo Li

Distributed and Parallel Blockchain: Towards a Multi-Chain System With Enhanced Security. IEEE Transactions on Dependable and Secure Computing (2024)

Weikang LiuBin CaoMugen PengBo Li

Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults. Software Testing Verification and Reliability (2024)

Ayoosh BansalHunmin KimSimon YuBo LiNaira HovakimyanMarco CaccamoLui Sha

Re-Thinking Data Availability Attacks Against Deep Neural Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Bin FangBo LiShuang WuShouhong DingRan YiLizhuang Ma

deep learningcomputer sciencedata securitycomputer securitydata scienceadversarial machine learningneural computationneural network (machine learning)attack model

Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics. Technometrics (2024)

Lei JinBo Li

Shake to Leak: Fine-Tuning Diffusion Models Can Amplify the Generative Privacy Risk. (2024)

Zhangheng LiJunyuan HongBo LiZhangyang Wang

SOK: Privacy-Preserving Data Synthesis. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yuzheng HuFan WuQinbin LiYunhui LongGonzalo Munilla GarridoChang GeBolin DingDavid ForsythBo LiDawn Song

information securitycomputer scienceprivacy-preserving communicationdata securitydata privacydata scienceprivacy-preserving data synthesisdata management

1
2
3
4
5
13
10 / page