Jindong Gu

183 papers A* 34A 5B 1Journal 120Unranked 22
YearRankTypeTitle / Venue / Authors
2026 A* conf
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models.
AAAI
Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2026 A* conf
Can Editing LLMs Inject Harm?
AAAI
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
2026 J jnl
Do 3D Large Language Models Really Understand 3D Spatial Relationships?
CoRR
Xianzheng Ma, Tao Sun, Shuai Chen, Yash Bhalgat, Jindong Gu, Angel X. Chang, Iro Armeni, Iro Laina, Songyou Peng, Victor Adrian Prisacariu
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2026 J jnl
SkillJect: Automating Stealthy Skill-Based Prompt Injection for Coding Agents with Trace-Driven Closed-Loop Refinement.
CoRR
Xiaojun Jia, Jie Liao, Simeng Qin, Jindong Gu, Wenqi Ren, Xiaochun Cao, Yang Liu, Philip Torr
2026 J jnl
Text-guided camouflaged object detection.
Pattern Recognit.
Zefeng Chen, Yunqi Xue, Zhijiang Li, Philip Torr, Jindong Gu
2025 J jnl
A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space.
CoRR
Bingjie Zhang, Yibo Yang, Zhe Ren, Dandan Guo, Jindong Gu, Philip Torr, Bernard Ghanem
2025 J jnl
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models.
CoRR
Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2025 J jnl
AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction.
CoRR
Gengyuan Zhang, Tanveer Hannan, Hermine Kleiner, Beste Aydemir, Xinyu Xie, Jian Lan, Thomas Seidl, Volker Tresp, Jindong Gu
2025 J jnl
Bag of Tricks for Subverting Reasoning-based Safety Guardrails.
CoRR
Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu
2025 — conf
Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models.
ACL (1)
Kuofeng Gao, Shutao Xia, Ke Xu, Philip Torr, Jindong Gu
2025 J jnl
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing.
ACM Trans. Knowl. Discov. Data
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
2025 A conf
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
WACV
Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2025 J jnl
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
CoRR
Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou
2025 A conf
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV
Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu
2025 A* conf
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP
Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu
2025 J jnl
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
CoRR
Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu
2025 J jnl
DD-Ranking: Rethinking the Evaluation of Dataset Distillation.
CoRR
Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025 J jnl
Deep Research Brings Deeper Harm.
CoRR
Shuo Chen, Zonggen Li, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu
2025 J jnl
Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs.
CoRR
Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp
2025 J jnl
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models.
CoRR
Hao Cheng, Erjia Xiao, Yichi Wang, Kaidi Xu, Mengshu Sun, Jindong Gu, Renjing Xu
2025 J jnl
Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention.
CoRR
Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu
2025 A* conf
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
CVPR
Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2025 A* conf
FedPop: Federated Population-based Hyperparameter Tuning.
AAAI
Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp
2025 A* conf
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs.
EMNLP
Andong Hua, Kenan Tang, Chenhe Gu, Jindong Gu, Eric Wong, Yao Qin
2025 J jnl
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs.
CoRR
Andong Hua, Kenan Tang, Chenhe Gu, Jindong Gu, Eric Wong, Yao Qin
2025 — conf
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings.
ACL (2)
Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp
2025 J jnl
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings.
CoRR
Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp
2025 J jnl
Hierarchical Process Reward Models are Symbolic Vision Learners.
CoRR
Shan Zhang, Aotian Chen, Kai Zou, Jindong Gu, Yuan Xue, Anton van den Hengel
2025 J jnl
Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing.
CoRR
Weixing Wang, Zifeng Ding, Jindong Gu, Rui Cao, Christoph Meinel, Gerard de Melo, Haojin Yang
2025 A* conf
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.
ICLR
Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
2025 J jnl
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack.
CoRR
Chenhe Gu, Jindong Gu, Andong Hua, Yao Qin
2025 — conf
LLM Jailbreak Detection for (Almost) Free!
EMNLP (Findings)
Guorui Chen, Yifan Xia, Xiaojun Jia, Zhijiang Li, Philip Torr, Jindong Gu
2025 J jnl
LLM Jailbreak Detection for (Almost) Free!
CoRR
Guorui Chen, Yifan Xia, Xiaojun Jia, Zhijiang Li, Philip Torr, Jindong Gu
2025 A* conf
Localizing Events in Videos with Multimodal Queries.
CVPR
Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2025 — conf
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
ACL (1)
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 J jnl
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
CoRR
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 — conf
Multimodal Pragmatic Jailbreak on Text-to-image Models.
ACL (1)
Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu
2025 A* conf
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models.
CVPR
Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu
2025 J jnl
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs.
CoRR
Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue
2025 A* conf
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
EMNLP
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
CoRR
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs.
CoRR
Yixuan Wu, Yang Zhang, Jian Wu, Philip H. S. Torr, Jindong Gu
2025 A* conf
Primitive Vision: Improving Diagram Understanding in MLLMs.
ICML
Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue
2025 J jnl
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.
CoRR
Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Motwani
2025 A* conf
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos.
CVPR
Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius
2025 A* conf
Reimagining Safety Alignment with An Image.
EMNLP
Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu
2025 J jnl
Reimagining Safety Alignment with An Image.
CoRR
Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu
2025 — conf
Reliable Evaluation of Adversarial Transferability.
SaTML
Wenqian Yu, Jindong Gu, Zhijiang Li, Philip Torr
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025 J jnl
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection.
CoRR
Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister
2025 J jnl
SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding.
CoRR
Tanveer Hannan, Shuaicong Wu, Mark Weber, Suprosanna Shit, Jindong Gu, Rajat Koner, Aljosa Osep, Laura Leal-Taixé, Thomas Seidl
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model Safety.
CoRR
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.
Found. Trends Priv. Secur.
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
ShieldGemma 2: Robust and Tractable Image Content Moderation.
CoRR
Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan
2025 J jnl
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models.
CoRR
Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu
2025 A* conf
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models.
ACM Multimedia
Hao Cheng, Erjia Xiao, Jiayan Yang, Jinhao Duan, Yichi Wang, Jiahang Cao, Qiang Zhang, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu
2025 J jnl
True Multimodal In-Context Learning Needs Attention to the Visual Context.
CoRR
Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2025 J jnl
Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak.
CoRR
Erjia Xiao, Hao Cheng, Jing Shao, Jinhao Duan, Kaidi Xu, Le Yang, Jindong Gu, Renjing Xu
2025 — conf
XAI for In-Hospital Mortality Prediction via Multimodal ICU Data.
BIBM
Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Fengxiang He, Bo Du
2024 J jnl
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks.
Trans. Mach. Learn. Res.
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr
2024 J jnl
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models.
CoRR
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
2024 A* conf
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models.
ICLR
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
2024 J jnl
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
CoRR
Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024 A conf
As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP.
BMVC
Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024 J jnl
Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models.
CoRR
Kuofeng Gao, Shu-Tao Xia, Ke Xu, Philip Torr, Jindong Gu
2024 J jnl
Can Editing LLMs Inject Harm?
CoRR
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
2024 A* conf
Can Large Language Model Agents Simulate Human Trust Behavior?
NeurIPS
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li
2024 — conf
Dataset Distillation by Automatic Training Trajectories.
ECCV (87)
Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz
2024 J jnl
Dataset Distillation by Automatic Training Trajectories.
CoRR
Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz
2024 A* conf
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
AAAI
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2024 A* conf
Does Few-Shot Learning Suffer from Backdoor Attacks?
AAAI
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024 J jnl
Does Few-shot Learning Suffer from Backdoor Attacks?
CoRR
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024 J jnl
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples.
CoRR
Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip Torr, Wei Liu, Zhifeng Li
2024 J jnl
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks.
IEEE Trans. Inf. Forensics Secur.
Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao
2024 J jnl
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
CoRR
Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2024 A* conf
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
AAAI
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2024 A* conf
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds.
CVPR
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
2024 J jnl
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds.
CoRR
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
2024 J jnl
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.
CoRR
Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
2024 — conf
Improving Adversarial Transferability via Model Alignment.
ECCV (62)
Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
2024 A* conf
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images.
ICLR
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
2024 J jnl
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images.
CoRR
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
2024 A* conf
Influencer Backdoor Attack on Semantic Segmentation.
ICLR
Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao
2024 A* conf
Initialization Matters for Adversarial Transfer Learning.
CVPR
Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin
2024 — conf
Latent Guard: A Safety Framework for Text-to-Image Generation.
ECCV (26)
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati
2024 J jnl
Latent Guard: a Safety Framework for Text-to-image Generation.
CoRR
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati
2024 J jnl
Learning Visual Prompts for Guiding the Attention of Vision Transformers.
CoRR
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip Torr, Ashkan Khakzar
2024 J jnl
Localizing Events in Videos with Multimodal Queries.
CoRR
Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2024 — conf
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models.
ECCV (56)
Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao
2024 J jnl
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
CoRR
Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang
2024 J jnl
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.
CoRR
Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu
2024 J jnl
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur.
Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao
2024 J jnl
Model-agnostic Origin Attribution of Generated Images with Few-shot Examples.
CoRR
Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu
2024 J jnl
Multimodal Pragmatic Jailbreak on Text-to-image Models.
CoRR
Tong Liu, Zhixin Lai, Gengyuan Zhang, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu
2024 A* conf
Provably Better Explanations with Optimized Aggregation of Feature Attributions.
ICML
Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024 J jnl
Provably Better Explanations with Optimized Aggregation of Feature Attributions.
CoRR
Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024 J jnl
RT-Attack: Jailbreaking Text-to-Image Models via Random Token.
CoRR
Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo
2024 J jnl
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos.
CoRR
Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius
2024 J jnl
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
CoRR
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu
2024 J jnl
Responsible Generative AI: What to Generate and What Not.
CoRR
Jindong Gu
2024 J jnl
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.
IEEE Trans. Inf. Forensics Secur.
Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao
2024 J jnl
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation.
CoRR
Runtao Liu, Chen I Chieh, Jindong Gu, Jipeng Zhang, Renjie Pi, Qifeng Chen, Philip Torr, Ashkan Khakzar, Fabio Pizzati
2024 A* conf
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CVPR
Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
2024 J jnl
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.
CoRR
Yang Bai, Ge Pei, Jindong Gu, Yong Yang, Xingjun Ma
2024 J jnl
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.
CoRR
Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu
2024 J jnl
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.
CoRR
Hao Cheng, Erjia Xiao, Jiahang Cao, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu
2024 J jnl
UVCG: Leveraging Temporal Consistency for Universal Video Protection.
CoRR
Kaizhou Li, Jindong Gu, Xinchun Yu, Junjie Cao, Yansong Tang, Xiao-Ping Zhang
2024 J jnl
Uncovering Vision Modality Threats in Image-to-Image Tasks.
CoRR
Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu
2024 J jnl
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2024 — conf
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.
ECCV (59)
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2024 — conf
Visual Question Decomposition on Multimodal Large Language Models.
EMNLP (Findings)
Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2024 J jnl
Visual Question Decomposition on Multimodal Large Language Models.
CoRR
Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2024 J jnl
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models.
CoRR
Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
2024 — conf
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution.
ECCV (62)
Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu
2023 J jnl
A Survey on Transferability of Adversarial Examples across Deep Neural Networks.
CoRR
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr
2023 J jnl
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
CoRR
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
2023 A* conf
Backdoor Defense via Adaptively Splitting Poisoned Dataset.
CVPR
Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
2023 J jnl
Backdoor Defense via Adaptively Splitting Poisoned Dataset.
CoRR
Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
2023 A* conf
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
NeurIPS
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023 J jnl
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
CoRR
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023 J jnl
Benchmarking Robustness of Text-Image Composed Retrieval.
CoRR
Shitong Sun, Jindong Gu, Shaogang Gong
2023 J jnl
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing.
CoRR
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
2023 J jnl
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
CoRR
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2023 A* conf
Do DALL-E and Flamingo Understand Each Other?
ICCV
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
2023 — conf
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.
ACL (Findings)
Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
2023 J jnl
Explainability and Robustness of Deep Visual Classification Models.
CoRR
Jindong Gu
2023 A conf
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks.
BMVC
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
2023 J jnl
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks.
CoRR
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
2023 A* conf
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
ICCV
Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
2023 J jnl
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks.
CoRR
Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao
2023 J jnl
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
CoRR
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2023 J jnl
FedPop: Federated Population-based Hyperparameter Tuning.
CoRR
Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
2023 J jnl
Improving Adversarial Transferability via Model Alignment.
CoRR
Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip H. S. Torr, Jindong Gu
2023 J jnl
Influencer Backdoor Attack on Semantic Segmentation.
CoRR
Haoheng Lan, Jindong Gu, Philip H. S. Torr, Hengshuang Zhao
2023 J jnl
Initialization Matters for Adversarial Transfer Learning.
CoRR
Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin
2023 A* conf
Multi-event Video-Text Retrieval.
ICCV
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
2023 J jnl
Multi-event Video-Text Retrieval.
CoRR
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
2023 J jnl
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization.
CoRR
Dongchen Han, Xiaojun Jia, Yang Bai, Jindong Gu, Yang Liu, Xiaochun Cao
2023 J jnl
Reliable Evaluation of Adversarial Transferability.
CoRR
Wenqian Yu, Jindong Gu, Zhijiang Li, Philip H. S. Torr
2023 J jnl
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.
CoRR
Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao
2023 J jnl
SPOT! Revisiting Video-Language Models for Event Understanding.
CoRR
Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp
2023 J jnl
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CoRR
Hang Li, Chengzhi Shen, Philip H. S. Torr, Volker Tresp, Jindong Gu
2023 J jnl
Towards Robust Prompts on Vision-Language Models.
CoRR
Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin
2023 J jnl
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation.
CoRR
Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao
2023 J jnl
Understanding and Improving In-Context Learning on Vision-language Models.
CoRR
Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu
2023 J jnl
XAI for In-hospital Mortality Prediction via Multimodal ICU Data.
CoRR
Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He
2022 — conf
Are Vision Transformers Robust to Patch Perturbations?
ECCV (12)
Jindong Gu, Volker Tresp, Yao Qin
2022 J jnl
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
CoRR
Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2022 J jnl
Do DALL-E and Flamingo Understand Each Other?
CoRR
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
2022 — —
Explainability and robustness of deep visual classification models.
Jindong Gu
2022 — conf
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness.
ECCV (29)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2022 J jnl
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness.
CoRR
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2022 — conf
Towards Efficient Adversarial Training on Vision Transformers.
ECCV (13)
Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
2022 J jnl
Towards Efficient Adversarial Training on Vision Transformers.
CoRR
Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
2022 — conf
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal.
ECCV (14)
Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
2022 J jnl
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal.
CoRR
Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
2021 J jnl
Adversarial Examples on Segmentation Models Can be Easy to Transfer.
CoRR
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2021 J jnl
Are Vision Transformers Robust to Patch Perturbations?
CoRR
Jindong Gu, Volker Tresp, Yao Qin
2021 J jnl
Attacking Adversarial Attacks as A Defense.
CoRR
Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
2021 A* conf
Capsule Network Is Not More Robust Than Convolutional Network.
CVPR
Jindong Gu, Volker Tresp, Han Hu
2021 J jnl
Capsule Network is Not More Robust than Convolutional Network.
CoRR
Jindong Gu, Volker Tresp, Han Hu
2021 A* conf
Effective and Efficient Vote Attack on Capsule Networks.
ICLR
Jindong Gu, Baoyuan Wu, Volker Tresp
2021 J jnl
Effective and Efficient Vote Attack on Capsule Networks.
CoRR
Jindong Gu, Baoyuan Wu, Volker Tresp
2021 A* conf
Interpretable Graph Capsule Networks for Object Recognition.
AAAI
Jindong Gu
2021 — conf
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.
ICHI
Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021 J jnl
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.
CoRR
Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021 B conf
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks.
IJCNN
Jindong Gu, Rui Zhao, Volker Tresp
2021 J jnl
Simple Distillation Baselines for Improving Small Self-supervised Models.
CoRR
Jindong Gu, Wei Liu, Yonglong Tian
2020 A* conf
Improving the Robustness of Capsule Networks to Image Affine Transformations.
CVPR
Jindong Gu, Volker Tresp
2020 J jnl
Interpretable Graph Capsule Networks for Object Recognition.
CoRR
Jindong Gu, Volker Tresp
2020 — conf
Introspective Learning by Distilling Knowledge from Online Self-explanation.
ACCV (4)
Jindong Gu, Zhiliang Wu, Volker Tresp
2020 J jnl
Introspective Learning by Distilling Knowledge from Online Self-explanation.
CoRR
Jindong Gu, Zhiliang Wu, Volker Tresp
2020 A conf
Search for Better Students to Learn Distilled Knowledge.
ECAI
Jindong Gu, Volker Tresp
2020 J jnl
Search for Better Students to Learn Distilled Knowledge.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Contextual Prediction Difference Analysis.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Improving the Robustness of Capsule Networks to Image Affine Transformations.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Neural Network Memorization Dissection.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Saliency Methods for Explaining Adversarial Attacks.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Semantics for Global and Local Interpretation of Deep Neural Networks.
CoRR
Jindong Gu, Volker Tresp
2019 J jnl
Understanding Bias in Machine Learning.
CoRR
Jindong Gu, Daniela Oelke
2018 — conf
Understanding Individual Decisions of CNNs via Contrastive Backpropagation.
ACCV (3)
Jindong Gu, Yinchong Yang, Volker Tresp
2018 J jnl
Understanding Individual Decisions of CNNs via Contrastive Backpropagation.
CoRR
Jindong Gu, Yinchong Yang, Volker Tresp