Philip Torr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
12
Active years
2024–2026
Best venue rank
A*
Where they publish
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Can Editing LLMs Inject Harm? | 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 | AAAI | An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint). | Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr |
| 2026 | AAAI | Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks. | Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou |
| 2026 | ACL | Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation. | Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai |
| 2026 | ACL | Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning. | Zelin Tan, Hejia Geng, Xiaohang Yu, Mulei Zhang, Guancheng Wan, Yifan Zhou, Qiang He, Xiangyuan Xue, Heng Zhou, Yutao Fan, Zhong-Zhi Li, Zaibin Zhang, Guibin Zhang, Chen Zhang, Zhenfei Yin, Philip Torr, Lei Bai |
| 2026 | SIGGRAPH | ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation. | Omar El Khalifi, Thomas Rossi, Oscar Fossey, Thibault Fouque, Ulysse Mizrahi, Philip Torr, Ivan Laptev, Fabio Pizzati, Baptiste Bellot-Gurlet |
| 2025 | ACL | Multimodal Pragmatic Jailbreak on Text-to-image Models. | Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu |
| 2025 | ACL | Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models. | Kuofeng Gao, Shutao Xia, Ke Xu, Philip Torr, Jindong Gu |
| 2025 | ACL | Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. | Haoyang Su, Renqi Chen, Shixiang Tang, Zhenfei Yin, Xinzhe Zheng, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong |
| 2025 | ACL | CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. | Tianqi Xu, Linyao Chen, Dai-Jie Wu, Yanjun Chen, Zecheng Zhang, Xiang Yao, Zhiqiang Xie, Yongchao Chen, Shilong Liu, Bochen Qian, Anjie Yang, Zhaoxuan Jin, Jianbo Deng, Philip Torr, Bernard Ghanem, Guohao Li |
| 2025 | CVPR | Open-World Objectness Modeling Unifies Novel Object Detection. | Shan Zhang, Yao Ni, Jinhao Du, Yuan Xue, Philip Torr, Piotr Koniusz, Anton van den Hengel |
| 2025 | CVPR | FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. | Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp |
| 2025 | CVPR | PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild. | Henghui Ding, Chang Liu, Nikhila Ravi, Shuting He, Yunchao Wei, Song Bai, Philip Torr |
| 2025 | CVPR | Olympus: A Universal Task Router for Computer Vision Tasks. | Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr |
| 2025 | CVPR | Video Motion Transfer with Diffusion Transformers. | Alexander Pondaven, Aliaksandr Siarohin, Sergey Tulyakov, Philip Torr, Fabio Pizzati |
| 2025 | CVPR | Localizing Events in Videos with Multimodal Queries. | Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu |
| 2025 | EMNLP | LLM Jailbreak Detection for (Almost) Free! | Guorui Chen, Yifan Xia, Xiaojun Jia, Zhijiang Li, Philip Torr, Jindong Gu |
| 2025 | EMNLP | Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions. | Hazel Kim, Tom A. Lamb, Adel Bibi, Philip Torr, Yarin Gal |
| 2025 | EMNLP | Can an Individual Manipulate the Collective Decisions of Multi-Agents? | Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu |
| 2025 | EMNLP | Reimagining Safety Alignment with An Image. | Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu |
| 2025 | ICCV | VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory. | Runjia Li, Philip Torr, Andrea Vedaldi, Tomas Jakab |
| 2025 | ICCV | AlignGuard: Scalable Safety Alignment for Text-to-Image Generation. | Runtao Liu, Chen I Chieh, Jindong Gu, Jipeng Zhang, Renjie Pi, Qifeng Chen, Philip Torr, Ashkan Khakzar, Fabio Pizzati |
| 2025 | ICCV | MatchDiffusion: Training-Free Generation of Match-Cuts. | Alejandro Pardo, Fabio Pizzati, Tong Zhang, Alexander Pondaven, Philip Torr, Juan C. Prez, Bernard Ghanem |
| 2025 | ICCV | Stable Virtual Camera: Generative View Synthesis with Diffusion Models. | Jensen Zhou, Hang Gao, Vikram Voleti, Aaryaman Vasishta, Chun-Han Yao, Mark Boss, Philip Torr, Christian Rupprecht, Varun Jampani |
| 2025 | ICLR | Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models. | Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi |
| 2025 | ICLR | Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models. | Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi |
| 2025 | ICLR | Shh, don't say that! Domain Certification in LLMs. | Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | ICLR | Towards Certification of Uncertainty Calibration under Adversarial Attacks. | Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | ICLR | Towards Interpreting Visual Information Processing in Vision-Language Models. | Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez |
| 2025 | ICML | PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data. | Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez |
| 2025 | ICML | Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation. | Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos |
| 2025 | ICML | Focus On This, Not That! Steering LLMs with Adaptive Feature Specification. | Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto |
| 2025 | ICML | Mixture of Experts Made Intrinsically Interpretable. | Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schrder de Witt, Puneet K. Dokania, Adel Bibi, Philip Torr |
| 2025 | ICML | Minimalist Concept Erasure in Generative Models. | Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi |
| 2025 | WACV | Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? | Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu |
| 2024 | ACL | HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. | Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, Joo F. Henriques, Jakob N. Foerster |
| 2024 | BMVC | As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. | Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr |
| 2024 | CVPR | Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. | Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu |
| 2024 | CVPR | RoDLA: Benchmarking the Robustness of Document Layout Analysis Models. | Yufan Chen, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ruiping Liu, Philip Torr, Rainer Stiefelhagen |
| 2024 | CVPR | CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor. | Shuyang Sun, Runjia Li, Philip Torr, Xiuye Gu, Siyang Li |
| 2024 | ECCV | PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. | Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu |
| 2024 | ECCV | VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models. | Junlin Han, Filippos Kokkinos, Philip Torr |
| 2024 | ECCV | Latent Guard: A Safety Framework for Text-to-Image Generation. | Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati |
| 2024 | ECCV | Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution. | Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu |
| 2024 | ECCV | Improving Adversarial Transferability via Model Alignment. | Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu |
| 2024 | ECCV | uCAP: An Unsupervised Prompting Method for Vision-Language Models. | A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Tai-Peng Tian, Ser-Nam Lim |
| 2024 | ECCV | GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. | Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu |
| 2024 | ECCV | DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM. | Yixuan Wu, Yizhou Wang, Shixiang Tang, Wenhao Wu, Tong He, Wanli Ouyang, Philip Torr, Jian Wu |
| 2024 | ECCV | CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios. | Qilang Ye, Zitong Yu, Rui Shao, Xinyu Xie, Philip Torr, Xiaochun Cao |
| 2024 | ECCV | Scene-Conditional 3D Object Stylization and Composition. | Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht |
| 2024 | EMNLP | Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. | Hasan Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay |
| 2024 | EMNLP | Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models. | Michael Lan, Philip Torr, Fazl Barez |
| 2024 | EMNLP | No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages. | Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny |
| 2024 | ICLR | Porf: Pose residual field for accurate Neural surface Reconstruction. | Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu, Philip Torr |
| 2024 | ICLR | Select to Perfect: Imitating desired behavior from large multi-agent data. | Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, Joo F. Henriques |
| 2024 | ICLR | Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. | Tim Franzmeyer, Stephen Marcus McAleer, Joo F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schrder de Witt |
| 2024 | ICLR | Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. | Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu |
| 2024 | ICLR | Influencer Backdoor Attack on Semantic Segmentation. | Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao |
| 2024 | ICLR | An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models. | Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr |
| 2024 | ICLR | When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. | Aleksandar Petrov, Philip Torr, Adel Bibi |
| 2024 | ICLR | Real-Fake: Effective Training Data Synthesis Through Distribution Matching. | Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo Zhao |
| 2024 | ICLR | Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. | Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny |
| 2024 | ICML | Efficient Error Certification for Physics-Informed Neural Networks. | Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar |
| 2024 | ICML | Prompting a Pretrained Transformer Can Be a Universal Approximator. | Aleksandar Petrov, Philip Torr, Adel Bibi |
| 2024 | ICML | Extracting Training Data From Document-Based VQA Models. | Francesco Pinto, Nathalie Rauschmayr, Florian Tramr, Philip Torr, Federico Tombari |
| 2024 | ICML | Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. | Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem |
| 2024 | ICML | Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators. | Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr |
| 2024 | MICCAI | FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. | Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi |