Cover Image

On the Transit Obfuscation Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Takahashi, Hideaki, Fukunaga, Alex
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search
by: Shimoda, Takumi, et al.
Published: (2024)

Decoupling Generation and Evaluation for Parallel Greedy Best-First Search(extended version)
by: Shimoda, Takumi, et al.
Published: (2024)

Is Selection All You Need in Differential Evolution?
by: Kitamura, Tomofumi, et al.
Published: (2025)

Output Supervision Can Obfuscate the Chain of Thought
by: Drori, Jacob, et al.
Published: (2025)

Obfuscated Memory Malware Detection
by: P, Sharmila S, et al.
Published: (2024)

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
by: Baker, Bowen, et al.
Published: (2025)

Mechanistic Interpretability in the Presence of Architectural Obfuscation
by: Florencio, Marcos, et al.
Published: (2025)

Mitigating Self-Preference by Authorship Obfuscation
by: Mahbub, Taslim, et al.
Published: (2025)

Personalized Author Obfuscation with Large Language Models
by: Shokri, Mohammad, et al.
Published: (2025)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)

Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
by: Sun, Guangzhi, et al.
Published: (2025)

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts
by: Wang, Boxuan, et al.
Published: (2026)

Consistency Training while Mitigating Obfuscation via Rate Matching
by: Imran, Sohaib, et al.
Published: (2026)

Avoiding Obfuscation with Prover-Estimator Debate
by: Brown-Cohen, Jonah, et al.
Published: (2025)

LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
by: Khouja, Jude, et al.
Published: (2025)

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling
by: Wang, Ziwei, et al.
Published: (2026)

The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
by: Taufeeque, Mohammad, et al.
Published: (2026)

OBsmith: LLM-Powered JavaScript Obfuscator Testing
by: Jiang, Shan, et al.
Published: (2025)

Transitive Expert Error and Routing Problems in Complex AI Systems
by: Mars, Forest
Published: (2026)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
by: Gu, Hanlin, et al.
Published: (2024)

Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice
by: Zhang, Gehao, et al.
Published: (2025)

Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought Monitorability
by: Zolkowski, Artur, et al.
Published: (2025)

Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)
by: Lin, Yu, et al.
Published: (2026)

Column Generation for the Micro-Transit Zoning Problem
by: Hu, Hins, et al.
Published: (2026)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
by: Niroshan, Akila, et al.
Published: (2025)

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models
by: Fisher, Jillian, et al.
Published: (2024)

Obfuscation Rules for Detecting and Detoxifying Korean Toxicity
by: Lee, Yejin, et al.
Published: (2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
by: Shang, Shang, et al.
Published: (2024)

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
by: Li, Wenhao, et al.
Published: (2025)

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning
by: Tang, Zhenwei, et al.
Published: (2026)

ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
by: Paul, Indraneil, et al.
Published: (2025)

Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study
by: Nikiema, Serge Lionel, et al.
Published: (2025)

Broken-Token: Filtering Obfuscated Prompts by Counting Characters-Per-Token
by: Zychlinski, Shaked, et al.
Published: (2025)

Quaternion Self-Attention with Shared Scores
by: Yamauchi, Shogo, et al.
Published: (2026)

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer
by: Zhou, Ranyang, et al.
Published: (2025)

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving
by: Villuri, Gnaneswar, et al.
Published: (2024)