Cover Image

Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lai, Songning, Liao, Mingqian, Hu, Zhangyi, Yang, Jiayu, Chen, Wenshuo, Xiao, Hongru, Tang, Jianheng, Liao, Haicheng, Yue, Yutao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

Backdooring CLIP through Concept Confusion
by: Hu, Lijie, et al.
Published: (2025)

Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025)

Counteracting Concept Drift by Learning with Future Malware Predictions
by: Bosansky, Branislav, et al.
Published: (2024)

A Survey On Secure Machine Learning
by: Liao, Taobo, et al.
Published: (2025)

Key Concepts and Principles of Blockchain Technology
by: Ghorbian, Mohsen, et al.
Published: (2025)

Keystroke Dynamics: Concepts, Techniques, and Applications
by: Shadman, Rashik, et al.
Published: (2023)

Aligning Core Aspects: Improving Vulnerability Proof-of-Concepts via Cross-Source Insights
by: Wang, Lingxiao, et al.
Published: (2025)

λ-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning
by: Zhang, Siqing, et al.
Published: (2023)

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
by: Grimes, Keltin, et al.
Published: (2024)

Defeating Cerberus: Concept-Guided Privacy-Leakage Mitigation in Multimodal Language Models
by: Zhang, Boyang, et al.
Published: (2025)

A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers
by: Tang, Peng, et al.
Published: (2024)

Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
by: Barbero, Federico, et al.
Published: (2020)

From Concept to Measurement: A Survey of How the Blockchain Trilemma Is Analyzed
by: Aliyu, Mansur Masama, et al.
Published: (2025)

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation
by: Zhang, Shenyi, et al.
Published: (2025)

METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
by: Ying, Jie, et al.
Published: (2024)

Rethinking the Vulnerability of Concept Erasure and a New Method
by: Richardson, Alex D., et al.
Published: (2025)

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem
by: Li, Qiongxiu, et al.
Published: (2024)

Do Concept Replacement Techniques Really Erase Unacceptable Concepts?
by: Das, Anudeep, et al.
Published: (2025)

Optimized Deep Learning Models for Malware Detection under Concept Drift
by: Maillet, William, et al.
Published: (2023)

SoK: Understanding Anti-Forensics Concepts and Research Practices Across Forensic Subdomains
by: Schneider, Janine, et al.
Published: (2026)

Zk-SNARK for String Match
by: Li, Taoran, et al.
Published: (2025)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
by: Ren, Jie, et al.
Published: (2024)

Data Poisoning for In-context Learning
by: He, Pengfei, et al.
Published: (2024)

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
by: Lin, Zilong, et al.
Published: (2025)

Teaching an Old Dog New Tricks: Verifiable FHE Using Commodity Hardware
by: Drean, Jules, et al.
Published: (2024)

Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)

Thwarting Cybersecurity Attacks with Explainable Concept Drift
by: Shaer, Ibrahim, et al.
Published: (2024)

Adaptive Domain Inference Attack with Concept Hierarchy
by: Gu, Yuechun, et al.
Published: (2023)

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)

Can LLMs Handle WebShell Detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
by: Han, Feijiang, et al.
Published: (2025)

Rethinking Robust Adversarial Concept Erasure in Diffusion Models
by: Yin, Qinghong, et al.
Published: (2025)

A Construction of Evolving $3$-threshold Secret Sharing Scheme with Perfect Security and Smaller Share Size
by: Cheng, Qi, et al.
Published: (2024)

Scaling DeFi with ZK Rollups: Design, Deployment, and Evaluation of a Real-Time Proof-of-Concept
by: Gogol, Krzysztof, et al.
Published: (2025)

Man-in-the-Middle Proof-of-Concept via Krontiris' Ephemeral Diffie-Hellman Over COSE (EDHOC) in C
by: Hennig, Daniel, et al.
Published: (2025)

Evaluating Concept Filtering Defenses against Child Sexual Abuse Material Generation by Text-to-Image Models
by: Cretu, Ana-Maria, et al.
Published: (2025)

Concept-Guided Backdoor Attack on Vision Language Models
by: Shen, Haoyu, et al.
Published: (2025)

Offensive Security for AI Systems: Concepts, Practices, and Applications
by: Harguess, Josh, et al.
Published: (2025)