Adel Bibi
42 papers · 2016–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (11) πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (9)
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Academic Marathon
(9)
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Cross-Pollinator
(12)
π
Renaissance Researcher
(8)
π€
Dynamic Duo
(22)
π
Grand Slam
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Keyword Champion
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Triple Crown
π₯
Mega-Team
(24)
β
The Questioner
(4)
ποΈ
Keyword Collector
(125)
β‘
Prolific Year
(6)
π
Conference Pioneer
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Trend Setter
π
Century Club
(42)
π₯
Unstoppable
(5)
Conferences
ICLR (9)
NIPS (7)
CVPR (6)
ICML (6)
AAAI (4)
ECCV (3)
EMNLP (2)
ICCV (2)
MICCAI (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
continual learning
(4)
adversarial attack
(3)
sparse representation
(3)
randomized smoothing
(3)
certified robustness
(3)
particle filter
(2)
memory sampling
(2)
adversarial defense
(2)
online learning
(2)
fourier domain
(2)
large language model
(2)
deep neural network
(2)
adversarial training
(2)
computational efficiency
(2)
certified accuracy
(2)
game theory
(1)
convex optimization
(1)
ensemble learning
(1)
non-convex optimization
(1)
benchmark evaluation
(1)
Papers
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
ICLR 2025
Shh, don't say that! Domain Certification in LLMs
ICLR 2025
Towards Certification of Uncertainty Calibration under Adversarial Attacks
ICLR 2025
Mixture of Experts Made Intrinsically Interpretable
ICML 2025
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
ICLR 2025
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
EMNLP 2025
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Prompting a Pretrained Transformer Can Be a Universal Approximator
ICML 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
NIPS 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models
NIPS 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
NIPS 2024
Label Delay in Online Continual Learning
NIPS 2024
On Pretraining Data Diversity for Self-Supervised Learning
ECCV 2024
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
EMNLP 2024
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
ICLR 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
ICLR 2024
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
ICLR 2024
Efficient Error Certification for Physics-Informed Neural Networks
ICML 2024
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
ICML 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
ICML 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
MICCAI 2024
Real-Time Evaluation in Online Continual Learning: A New Hope
CVPR 2023
Language Model Tokenizers Introduce Unfairness Between Languages
NIPS 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
ICML 2023
Computationally Budgeted Continual Learning: What Does Matter?
CVPR 2023
RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing
WACV 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
ICCV 2023
Combating Adversaries with Anti-adversaries
AAAI 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
NIPS 2022
Data dependent randomized smoothing
UAI 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing
AAAI 2022
Gabor Layers Enhance Network Robustness
ECCV 2020
A Stochastic Derivative Free Optimization Method with Momentum
ICLR 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
Deep Layers as Stochastic Solvers
ICLR 2019
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input
CVPR 2018
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
ECCV 2018
High Order Tensor Formulation for Convolutional Sparse Coding
ICCV 2017
FFTLasso: Large-Scale LASSO in the Fourier Domain
CVPR 2017
3D Part-Based Sparse Tracker With Automatic Synchronization and Registration
CVPR 2016
In Defense of Sparse Tracking: Circulant Sparse Tracker
CVPR 2016