ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.04578
  4. Cited By
Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization

Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization

7 May 2025
Wenjun Cao
    AAML
ArXiv (abs)PDFHTML

Papers citing "Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization"

2 / 2 papers shown
Title
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLMVLMOffRLAI4TSLRM
384
2,022
0
22 Jan 2025
Tamper-Resistant Safeguards for Open-Weight LLMs
Tamper-Resistant Safeguards for Open-Weight LLMs
Rishub Tamirisa
Bhrugu Bharathi
Long Phan
Andy Zhou
Alice Gatti
...
Andy Zou
Dawn Song
Bo Li
Dan Hendrycks
Mantas Mazeika
AAMLMU
131
63
0
01 Aug 2024
1