Adel Bibi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
11
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | 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 | ICML | Mixture of Experts Made Intrinsically Interpretable. | Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schrder de Witt, Puneet K. Dokania, Adel Bibi, Philip Torr |
| 2024 | AAAI | SimCS: Simulation for Domain Incremental Online Continual Segmentation. | Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Mller |
| 2024 | ECCV | Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. | Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania |
| 2024 | ECCV | On Pretraining Data Diversity for Self-Supervised Learning. | Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem |
| 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 | 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 | When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. | Aleksandar Petrov, Philip Torr, Adel Bibi |
| 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 | Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. | Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schrder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster |
| 2024 | ICML | Prompting a Pretrained Transformer Can Be a Universal Approximator. | Aleksandar Petrov, Philip Torr, Adel Bibi |
| 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 | 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 |
| 2023 | CVPR | Real-Time Evaluation in Online Continual Learning: A New Hope. | Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem |
| 2023 | CVPR | Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. | Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2023 | CVPR | Computationally Budgeted Continual Learning: What Does Matter? | Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi |
| 2023 | ICCV | Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? | Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem |
| 2023 | ICML | Certifying Ensembles: A General Certification Theory with S-Lipschitzness. | Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi |
| 2023 | WACV | RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing. | Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi |
| 2022 | AAAI | DeformRS: Certifying Input Deformations with Randomized Smoothing. | Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem |
| 2022 | AAAI | Combating Adversaries with Anti-adversaries. | Motasem Alfarra, Juan C. Prez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2022 | ECCV | Diversified Dynamic Routing for Vision Tasks. | Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | UAI | Data dependent randomized smoothing. | Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2021 | BMVC | Rethinking Clustering for Robustness. | Motasem Alfarra, Juan C. Prez, Adel Bibi, Ali K. Thabet, Pablo Arbelez, Bernard Ghanem |
| 2020 | AAAI | A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. | Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtrik |
| 2020 | ECCV | Gabor Layers Enhance Network Robustness. | Juan C. Prez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbelez |
| 2020 | ICLR | A Stochastic Derivative Free Optimization Method with Momentum. | Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtrik |
| 2019 | ICLR | Deep Layers as Stochastic Solvers. | Adel Bibi, Bernard Ghanem, Vladlen Koltun, Ren Ranftl |
| 2019 | WACV | Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. | Rafal Protasiuk, Adel Bibi, Bernard Ghanem |
| 2018 | CVPR | Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input. | Adel Bibi, Modar Alfadly, Bernard Ghanem |
| 2018 | ECCV | TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. | Matthias Mller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem |
| 2017 | CVPR | FFTLasso: Large-Scale LASSO in the Fourier Domain. | Adel Bibi, Hani Itani, Bernard Ghanem |
| 2017 | ICCV | High Order Tensor Formulation for Convolutional Sparse Coding. | Adel Bibi, Bernard Ghanem |
| 2016 | CVPR | 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. | Adel Bibi, Tianzhu Zhang, Bernard Ghanem |
| 2016 | CVPR | In Defense of Sparse Tracking: Circulant Sparse Tracker. | Tianzhu Zhang, Adel Bibi, Bernard Ghanem |
| 2016 | ECCV | Target Response Adaptation for Correlation Filter Tracking. | Adel Bibi, Matthias Mueller, Bernard Ghanem |