Papers
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
Xicong Shen, Yang Liu, Yi Liu et al.
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha et al.
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
Bo Pang, Tingrui Qiao, Caroline Walker et al.
Fast Explanations via Policy Gradient-Optimized Explainer
Deng Pan, Nuno Moniz, Nitesh V. Chawla
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs
Sai Krishna Mendu, Harish Yenala, Aditi Gulati et al.
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change
Sterre Lutz, Matthijs T.J. Spaan, Anna Lukina
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement
Yuehao Liu, Yansong Dong, Liang Zhao et al.
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
Yujie Lin, Dong Li, Minglai Shao et al.
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency
Fan Li, Tiancheng Zhang, Yifang Yin et al.
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
Chongshou Li, Pin Tang, Tianrui Li et al.
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka, Lina Gerlach, Francesco Leofante et al.
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
Songtao Jiang, Yan Zhang, Ruizhe Chen et al.
On Integrating Logical Analysis of Data into Random Forests
David Ing, Said Jabbour, Lakhdar Saïs
Automated Detection of Pre-training Text in Black-box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng et al.
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models
Xiaomeng Fu, Xi Wang, Qiao Li et al.
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming
Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo et al.
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation
Yingying Fang, Zihao Jin, Shaojie Guo et al.
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity
Guoliang Dong, Haoyu Wang, Jun Sun et al.
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
Huiqiang Chen, Tianqing Zhu, Xin Yu et al.
Improved Rank Aggregation Under Fairness Constraint
Diptarka Chakraborty, Himika Das, Sanjana Dey et al.
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Axel Abels, Tom Lenaerts
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game
Yang Zhao, Wenzhe Zhao, Xuelong Li
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates
Xiongqi Zhang, Ning Lv, Wang Lin et al.
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
Yi Zhan, Qi Liu, Weibo Gao et al.