| 2024 | CVPR | Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation. | Lior Talker, Aviad Cohen, Erez Yosef, Alexandra Dana, Michael Dinerstein |
| 2021 | IJCNN | Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. | Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim |
| 2021 | TACAS | Local Search with a SAT Oracle for Combinatorial Optimization. | Aviad Cohen, Alexander Nadel, Vadim Ryvchin |
| 2019 | IJCNN | TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. | Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici |
| 2015 | ICMLA | Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. | Nir Nissim, Aviad Cohen, Yuval Elovici |
| 2015 | SoCS | Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. | Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira |
| 2014 | ISI | ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. | Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici |
| 1989 | FOCS | Dispersers, Deterministic Amplification, and Weak Random Sources (Extended Abstract) | Aviad Cohen, Avi Wigderson |