update

Author: stneng

imgs/c-rag.png

@@ -164,6 +164,81 @@ <h2 class="label"><a name="publications"><span >Recent Publications</span></a></
  </div> 
 </form> -->
 
+<tableborder="0" cellpadding="0" cellspacing="15" width="100%">
+<tbody>
+<tr>
+<tdwidth="200"><imgsrc="imgs/llm-pbe.png" border="1" width="210"></td>
+<tdwidth="20"></td>
+<tdvalign="middle" width="800">
+<pclass="content"><ahref="https://arxiv.org/abs/2408.12787"><strong>LLM-PBE: Assessing Data Privacy in Large Language Models</strong></a></p>
+<pclass="content">Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song</p>
+<pclass="content">International Conference on Very Large Data Bases (VLDB) <spanstyle="color:red;">Best Research Paper Nomination</span>. August, 2024.</p>
+<pclass="margin-small">&nbsp;</p>
+</td>
+</tr>
+</tbody>
+</table>
+
+<tableborder="0" cellpadding="0" cellspacing="15" width="100%">
+<tbody>
+<tr>
+<tdwidth="200"><imgsrc="imgs/shine.png" border="1" width="210"></td>
+<tdwidth="20"></td>
+<tdvalign="middle" width="800">
+<pclass="content"><ahref="https://proceedings.mlr.press/v235/yuan24c.html"><strong>SHINE: Shielding Backdoors in Deep Reinforcement Learning</strong></a></p>
+<pclass="content">Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song</p>
+<pclass="content">The International Conference on Machine Learning (ICML). July, 2024.</p>
+<pclass="margin-small">&nbsp;</p>
+</td>
+</tr>
+</tbody>
+</table>
+
+<tableborder="0" cellpadding="0" cellspacing="15" width="100%">
+<tbody>
+<tr>
+<tdwidth="200"><imgsrc="imgs/rigorllm.png" border="1" width="210"></td>
+<tdwidth="20"></td>
+<tdvalign="middle" width="800">
+<pclass="content"><ahref="https://proceedings.mlr.press/v235/yuan24f.html"><strong>RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content</strong></a></p>
+<pclass="content">Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li</p>
+<pclass="content">The International Conference on Machine Learning (ICML). July, 2024.</p>
+<pclass="margin-small">&nbsp;</p>
+</td>
+</tr>
+</tbody>
+</table>
+
+<tableborder="0" cellpadding="0" cellspacing="15" width="100%">
+<tbody>
+<tr>
+<tdwidth="200"><imgsrc="imgs/decoding compressedtrust.png" border="1" width="210"></td>
+<tdwidth="20"></td>
+<tdvalign="middle" width="800">
+<pclass="content"><ahref="https://proceedings.mlr.press/v235/hong24a.html"><strong>Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression</strong></a></p>
+<pclass="content">Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang “Atlas” Wang, Bo Li</p>
+<pclass="content">The International Conference on Machine Learning (ICML). July, 2024.</p>
+<pclass="margin-small">&nbsp;</p>
+</td>
+</tr>
+</tbody>
+</table>
+
+<tableborder="0" cellpadding="0" cellspacing="15" width="100%">
+<tbody>
+<tr>
+<tdwidth="200"><imgsrc="imgs/c-rag.png" border="1" width="210"></td>
+<tdwidth="20"></td>
+<tdvalign="middle" width="800">
+<pclass="content"><ahref="https://proceedings.mlr.press/v235/kang24a.html"><strong>C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models</strong></a></p>
+<pclass="content">Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li</p>
+<pclass="content">The International Conference on Machine Learning (ICML). July, 2024.</p>
+<pclass="margin-small">&nbsp;</p>
+</td>
+</tr>
+</tbody>
+</table>
+
 <tableborder="0" cellpadding="0" cellspacing="15" width="100%">
 <tbody>
 <tr>