Adnan Siraj Rakin
12 papers · 2019–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30)
🏆
Keyword Champion
(4)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(56)
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(10)
Deep Learning
(8)
Application Areas
(8)
Learning Types · Machine Learning
(5)
Optimization & Theory · Deep Learning
(5)
Security & Privacy
(3)
Learning Types · Deep Learning
(3)
Privacy
(3)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Keywords
model compression
(4)
bit-flip attack
(4)
adversarial attack
(4)
backdoor attack
(3)
model robustness
(2)
knowledge distillation
(2)
neural network security
(2)
trojan attack
(2)
adversarial training
(2)
vision transformer
(1)
domain adaptation
(1)
model extraction attack
(1)
adversarial machine learning
(1)
federated learning
(1)
transfer learning
(1)
domain generalization
(1)
unsupervised learning
(1)
synthetic data generation
(1)
spectral norm
(1)
text-to-image generation
(1)
Papers
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
WACV 2026
Unleashing Stealthy Backdoor Pandemic by Infecting a Single Diffusion Model
CVPR 2026
DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge
CVPR 2025
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
CVPR 2024
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
AAAI 2024
SSDA: Secure Source-Free Domain Adaptation
ICCV 2023
Rep-Net: Efficient On-Device Learning via Feature Reprogramming
CVPR 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
CVPR 2022
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
TBT: Targeted Neural Network Attack With Bit Trojan
CVPR 2020
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search
ICCV 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
CVPR 2019