Zifan Wang - RankMe

52 papers A* 17Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition. CoRR Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter
2025	J	`jnl`	A Red Teaming Roadmap Towards System-Level Safety. CoRR Zifan Wang, Christina Q. Knight, Jeremy Kritz, Willow Primack, Julian Michael
2025	A*	`conf`	Aligned LLMs Are Not Aligned Browser Agents. ICLR Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang
2025	J	`jnl`	Best Practices for Biorisk Evaluations on Open-Weight Bio-Foundation Models. CoRR Boyi Wei, Zora Che, Nathaniel Li, Udari Madhushani Sehwag, Jasper Götting, Samira Nedungadi, Julian Michael, Summer Yue, Dan Hendrycks, Peter Henderson, Zifan Wang, Seth Donoughe, Mantas Mazeika
2025	J	`jnl`	Jailbreaking to Jailbreak. CoRR Jeremy Kritz, Vaughn Robinson, Robert Vacareanu, Bijan Varjavand, Michael Choi, Bobby Gogov, Scale Red Team, Summer Yue, Willow Primack, Zifan Wang
2025	A*	`conf`	LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses. CHI Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang
2025	J	`jnl`	SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? CoRR Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
2025	A*	`conf`	Validating Mechanistic Interpretations: An Axiomatic Approach. ICML Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha
2025	J	`jnl`	WebGuard: Building a Generalizable Guardrail for Web Agents. CoRR Boyuan Zheng, Zeyi Liao, Scott Salisbury, Zeyuan Liu, Michael Lin, Qinyuan Zheng, Zifan Wang, Xiang Deng, Dawn Song, Huan Sun, Yu Su
2024	A*	`conf`	A Recipe for Improved Certifiable Robustness. ICLR Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson
2024	A*	`conf`	Attacks and Defenses for Large Language Models on Coding Tasks. ASE Chi Zhang, Zifan Wang, Ruoshi Zhao, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu
2024	A*	`conf`	HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. ICML Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
2024	J	`jnl`	HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
2024	J	`jnl`	LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. CoRR Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue
2024	J	`jnl`	Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach. CoRR Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha
2024	J	`jnl`	Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. CoRR Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine T. Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang
2024	J	`jnl`	Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations. CoRR Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang
2024	J	`jnl`	The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks
2024	A*	`conf`	The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. ICML Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks
2024	J	`jnl`	VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices. CoRR Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal
2023	J	`jnl`	A Recipe for Improved Certifiable Robustness: Capacity and Data. CoRR Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson
2023	J	`jnl`	Can LLMs Follow Simple Rules? CoRR Norman Mu, Sarah Li Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner
2023	A*	`conf`	Grounding Neural Inference with Satisfiability Modulo Theories. NeurIPS Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson
2023	A*	`conf`	Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. CVPR Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut
2023	J	`jnl`	Is Certifying 𝓁 CoRR Ravi Mangal, Klas Leino, Zifan Wang, Kai Hu, Weicheng Yu, Corina S. Pasareanu, Anupam Datta, Matt Fredrikson
2023	J	`jnl`	Learning Modulo Theories. CoRR Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang
2023	—	`—`	On the Feature Alignment of Deep Vision Models: Explainability and Robustness Connected At Hip Zifan Wang
2023	A*	`conf`	On the Perils of Cascading Robust Classifiers. ICLR Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson
2023	J	`jnl`	Representation Engineering: A Top-Down Approach to AI Transparency. CoRR Andy Zou, Long Phan, Sarah Li Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks
2023	J	`jnl`	Scaling in Depth: Unlocking Robustness Certification on ImageNet. CoRR Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
2023	J	`jnl`	Transfer Attacks and Defenses for Large Language Models on Coding Tasks. CoRR Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu
2023	J	`jnl`	Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson
2023	A*	`conf`	Unlocking Deterministic Robustness Certification on ImageNet. NeurIPS Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
2022	A*	`conf`	Consistent Counterfactuals for Deep Models. ICLR Emily Black, Zifan Wang, Matt Fredrikson
2022	J	`jnl`	Faithful Explanations for Deep Graph Models. CoRR Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta
2022	J	`jnl`	Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. CoRR Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut
2022	J	`jnl`	On the Perils of Cascading Robust Classifiers. CoRR Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson
2022	A*	`conf`	Robust Models Are More Interpretable Because Attributions Look Normal. ICML Zifan Wang, Matt Fredrikson, Anupam Datta
2021	J	`jnl`	Boundary Attributions Provide Normal (Vector) Explanations. CoRR Zifan Wang, Matt Fredrikson, Anupam Datta
2021	J	`jnl`	Consistent Counterfactuals for Deep Models. CoRR Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta
2021	—	`conf`	Exploring Conceptual Soundness with TruLens. NeurIPS (Competition and Demos) Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang
2021	A*	`conf`	Globally-Robust Neural Networks. ICML Klas Leino, Zifan Wang, Matt Fredrikson
2021	J	`jnl`	Globally-Robust Neural Networks. CoRR Klas Leino, Zifan Wang, Matt Fredrikson
2021	A*	`conf`	Influence Patterns for Explaining Information Flow in BERT. NeurIPS Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta
2021	A*	`conf`	Machine Learning Explainability and Robustness: Connected at the Hip. KDD Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
2020	J	`jnl`	Abstracting Influence Paths for Explaining (Contextualization of) BERT Models. CoRR Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta
2020	—	`conf`	Interpreting Interpretations: Organizing Attribution Methods by Criteria. CVPR Workshops Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson
2020	J	`jnl`	Interpreting Interpretations: Organizing Attribution Methods by Criteria. CoRR Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson
2020	—	`conf`	Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
2020	A*	`conf`	Smoothed Geometry for Robust Attribution. NeurIPS Zifan Wang, Haofan Wang, Shakul Ramkumar, Piotr Mardziel, Matt Fredrikson, Anupam Datta
2020	J	`jnl`	Smoothed Geometry for Robust Attribution. CoRR Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta
2020	J	`jnl`	Towards Behavior-Level Explanation for Deep Reinforcement Learning. CoRR Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta