• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 187 matches

• 2025
• 
  Chenyu Zhang, Mingwang Hu, Wenhui Li, Lanjun Wang:
  Adversarial attacks and defenses on text-to-image diffusion models: A survey. Inf. Fusion 114: 102701 (2025)
• 2024
• 
  Jinyin Chen, Ximin Zhang, Haibin Zheng:
  Attacks, Defenses and Testing for Deep Learning. Springer 2024, ISBN 978-981-97-0424-8, pp. 5-399
• 
  Conrado P. Vizcarra, Shadan Alhamed, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Nura Aljaafari, Ahmad Sawalmeh, Mahmoud Nazzal, Abdallah Khreishah, Abdulaziz Alhumam, Muhammad Anan:
  Deep learning adversarial attacks and defenses on license plate recognition system. Clust. Comput. 27(8): 11627-11644 (2024)
• 
  Daichong Chao, Dawei Xu, Feng Gao, Chuan Zhang, Weiting Zhang, Liehuang Zhu:
  A Systematic Survey on Security in Anonymity Networks: Vulnerabilities, Attacks, Defenses, and Formalization. IEEE Commun. Surv. Tutorials 26(3): 1775-1829 (2024)
• 
  Huajie Chen, Chi Liu, Tianqing Zhu, Wanlei Zhou:
  When deep learning meets watermarking: A survey of application, attacks and defenses. Comput. Stand. Interfaces 89: 103830 (2024)
• 
  Mayra Alexandra Macas Carrasco, Chun-Ming Wu, Walter Fuertes:
  Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems. Expert Syst. Appl. 238(Part E): 122223 (2024)
• 
  Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
  Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. Future Gener. Comput. Syst. 152: 30-42 (2024)
• 
  Zesheng Chen, Jack Li, Chao Chen:
  Ensemble Adversarial Defenses and Attacks in Speaker Verification Systems. IEEE Internet Things J. 11(20): 32645-32655 (2024)
• 
  Bui Duc Son, Tien Hoa Nguyen, Trinh Van Chien, Waqas Khalid, Mohamed Amine Ferrag, Wan Choi, Mérouane Debbah:
  Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems. IEEE Internet Things J. 11(11): 19168-19187 (2024)
• 
  David Hasselquist, Ethan Witwer, August Carlson, Niklas Johansson, Niklas Carlsson:
  Raising the Bar: Improved Fingerprinting Attacks and Defenses for Video Streaming Traffic. Proc. Priv. Enhancing Technol. 2024(4): 167-184 (2024)
• 
  Zhirun Zheng, Zhetao Li, Cheng Huang, Saiqin Long, Mushu Li, Xuemin Shen:
  Data Poisoning Attacks and Defenses to LDP-Based Privacy-Preserving Crowdsensing. IEEE Trans. Dependable Secur. Comput. 21(5): 4861-4878 (2024)
• 
  Chuang Wang, Zidong Wang, Qinyuan Liu, Hongli Dong, Weiguo Sheng:
  Support-Sample-Assisted Domain Generalization via Attacks and Defenses: Concepts, Algorithms, and Applications to Pipeline Fault Diagnosis. IEEE Trans. Ind. Informatics 20(4): 6413-6423 (2024)
• 
  Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
  Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8726-8746 (2024)
• 
  Sihan Wang, Tian Xie, Min-Yue Chen, Guan-Hua Tu, Chi-Yu Li, Xinyu Lei, Po-Yi Chou, Fu-Cheng Hsieh, Yiwen Hu, Li Xiao, Chunyi Peng:
  Dissecting Operational Cellular IoT Service Security: Attacks and Defenses. IEEE/ACM Trans. Netw. 32(2): 1229-1244 (2024)
• 
  Miguel Costa, Sandro Pinto:
  David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge. EuroS&P 2024: 524-541
• 
  Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
  Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications. ICCPS 2024: 23-32
• 
  Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt:
  Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning. IoTDI 2024: 158-169
• 
  Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He:
  FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 2024: 5070-5081
• 
  Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao:
  Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. NAACL-HLT 2024: 6734-6747
• 
  Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed:
  Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. SVCC 2024: 1-8
• 
  Arka Rai Choudhuri, Sanjam Garg, Julien Piet, Guru-Vamsi Policharla:
  Mempool Privacy via Batched Threshold Encryption: Attacks and Defenses. USENIX Security Symposium 2024
• 
  Azuka J. Chiejina, Brian Kim, Kaushik Chowhdury, Vijay K. Shah:
  System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. WISEC 2024: 237-247
• 
  Eleonora Losiouk, Alessandro Brighente, Mauro Conti, Yousra Aafer, Yanick Fratantonio:
  The 27th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2024, Padua, Italy, 30 September 2024- 2 October 2024. ACM 2024, ISBN 979-8-4007-0959-3 [contents]
• 
  Bui Duc Son, Tien Hoa Nguyen, Trinh Van Chien, Waqas Khalid, Mohamed Amine Ferrag, Wan Choi, Mérouane Debbah:
  Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems. CoRR abs/2401.14780 (2024)
• 
  Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
  Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. CoRR abs/2401.17196 (2024)
• 
  Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia:
  Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. CoRR abs/2402.04013 (2024)
• 
  Azuka J. Chiejina, Brian Kim, Kaushik Chowhdury, Vijay K. Shah:
  System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. CoRR abs/2402.06846 (2024)
• 
  Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao:
  Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. CoRR abs/2402.09283 (2024)
• 
  Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vaibhav Kumar, Vinija Jain, Aman Chadha:
  Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. CoRR abs/2403.04786 (2024)
• 
  Ziyao Liu, Huanyi Ye, Chen Chen, Kwok-Yan Lam:
  Threats, Attacks, and Defenses in Machine Unlearning: A Survey. CoRR abs/2403.13682 (2024)

skipping 157 more matches